SlideShare a Scribd company logo
Short Talk -
Nonlinearity
Jay Chang
July 9 2015
Agenda
Harmonic Distortion
Gain Compression
Cross Modulation
Intermodulation
AM/PM Conversion
Agenda
Harmonic Distortion
Gain Compression
Cross Modulation
Intermodulation
AM/PM Conversion
 Even-order harmonics result from αj with even j.
 nth harmonic grows in proportion to An.
DC Fundamental Second
Harmonic
Third
Harmonic
Effects of Nonlinearity: Harmonic Distortion
Harmonic Distortion
2 3
1 2 3( ) ( ) ( ) ( ).
where ( ) cos .
y t x t x t x t
x t A t
  

  

2 3
0 1 2 3( ) ( ) ( ) ( )y t x t x t x t      
If only α0 ≠ 0, rectifier convert AC input to DC.
If only α1 ≠ 0, linear attenuator (α1 < 1) and linear amplifier (α1 > 1).
If only α2 ≠ 0, mixer.
And in most PA α3 < 0.
x(t) y(t)
Example of Harmonic Distortion in Mixer
Solution:
An analog multiplier “mixes” its two inputs below, ideally producing y(t) = kx1(t)x2(t), where k
is a constant. Assume x1(t) = A1 cos ω1t and x2(t) = A2 cos ω2t.
(a) If the mixer is ideal, determine the output frequency components.
(b) If the input port sensing x2(t) suffers from third-order nonlinearity, determine the output
frequency components.
(a)
(b)
Ex: B5, B8 and B9 fighting
if ω1 = 2π x (850 MHz) and ω2 = 2π x (900 MHz),
then |ω1 - 3ω2| = 2π x (1850 MHz), an “undesired” component that
is difficult to filter because it lies close to the desired component at
ω1 + ω2 = 2π x (1750 MHz).
Agenda
Harmonic Distortion
Gain Compression
Cross Modulation
Intermodulation
AM/PM Conversion
Effects of Nonlinearity: Gain Compression
Gain Compression
Expansive Compressive
 Most RF circuit of interest are compressive, we focus on this type.
 Output falls below its ideal value by 1 dB at the 1-dB compression point.
 Peak value instead of peak-to-peak value.
 P1dB is typically in the range of -20 to -25 dBm (63.2 to 35.6 mVpp in 50 Ohm system)
at the input of RF receivers.
3
1 3
2
1 3
3
cos
34
gain compression.
cos 4
v
A A t
G A
A t
  
 

 
 
    
Gain Compression: Effect on FM and AM Waveforms
 FM signal carries no information in its amplitude and hence tolerates compression
(i.e., amplitude limiting).
 AM contain information in the amplitude, hence distorted by compression.
 Desensitization: the receiver gain is reduced by the large excursions produced by the interferer
even though the desired signal itself is small.
 Rx must be able to withstand blockers that are 60 to 70 dB greater than the desired signal.
For A1 << A2
Gain Compression: Desensitization
2 3
1 2 3
1 1 2 2
( ) ( ) ( ) ( ).
where ( ) cos cos .
y t x t x t x t
x t A t A t
  
 
  
 
2
1 3 1 2 1 3 2
3
if 0, when the gain drop to zero.
2
A A A    = In math 
Agenda
Harmonic Distortion
Gain Compression
Cross Modulation
Intermodulation
AM/PM Conversion
Effects of Nonlinearity: Cross Modulation
Cross Modulation
 Desired signal at output suffers from amplitude modulation at ωm and 2ωm.
Suppose that the interferer is an amplitude-modulated signal
Thus
when a weak signal and a strong interferer pass through
a nonlinear system is the transfer of modulation from the interferer to the signal.
 2 21 cos cosmA m t t 
Effects of Nonlinearity: Cross Modulation
 Wanted signal(fRX) corruption due to the cross-modulation of an amplitude-modulated blocker with a CW
jammer close to the RX channel.
 Wanted signal(fRX) corruption due to the intermodulation of an amplitude-modulated blocker (the aggressor
TX) with a CW jammer.
 LNA輸入端, 會同時存在三種訊號: Blocker、TX、RX, 兩種訊號便可產生IMD (Intermodulation), 亦即這三種訊號中,
隨意任兩種便可產生IMD.
Effects of Nonlinearity: Cross Modulation
Agenda
Harmonic Distortion
Gain Compression
Cross Modulation
Intermodulation
AM/PM Conversion
Harmonic distortion
Desensitization
Intermodulation
So far we have considered the case of:
 Single Signal
 Signal + one large interferer
 Signal + two large interferers
Effects of Nonlinearity: Intermodulation-
Recall Previous Discussion
Effects of Nonlinearity: Intermodulation
Intermodulation
assume
Thus
Intermodulation products:
Fundamental components:
Intermodulation Product Falling on Desired Channel
desired
Interferer
 A received small desired signal along with two large interferers.
 Intermodulation product falls onto the desired channel, corrupts signal.
 IP3 is not a directly measureable quantity, but a point obtained by extrapolation.
Intermodulation: Third Intercept Point
 PA: power range that is limited at the low end by
noise and at the high end by the compression
point. This is essentially the linear operating range
for the amplifier, and is called the linear dynamic
range (DRl).
 LNA or mixer: operation may be limited by noise
at the low end and the maximum power level for
which intermodulation distortion becomes
unacceptable. This is effectively the operating
range for which spurious responses are minimal,
and is called the spurious-free dynamic range (DRf).
Intermodulation: Dynamic Range
Effects of Nonlinearity: Cascaded Nonlinear Stages
Considering only the first- and third-order terms, we have:
Thus,
 To “refer” the IP3 of the second stage to the input of the cascade, we must divide it by α1.
Thus, the higher the gain of the first stage, the more nonlinearity is contributed by the second
stage.
Cascaded Nonlinear Stages: Intuitive results
1 3total IP  
1 2( ) cos cosx t A t A t  
IM Spectra in a Cascade (I)
identify the IM products in a cascade
IM Spectra in a Cascade (II)
Adding the amplitudes of the IM products, we have
 Add in phase as worst-case scenario.
 Heavily attenuated in narrow-band circuits.
 Thus, if each stage in a cascade has a gain greater than unity, the nonlinearity of the latter
stages becomes increasingly more critical because the IP3 of each stage is equivalently scaled
down by the total gain preceding that stage.
For more stages:
Demonstration
Experiment Measurement IP3
Amplifier Two-Tone Test
Mixer Two-Tone Test
1
1 2 1
0
2 33 2
in
IP
P P G
P P P

  
 
 
1 2 12 3
3 0
3 2
3
IP
IP
P P P
IIP P G
    
 
Agenda
Harmonic Distortion
Gain Compression
Cross Modulation
Intermodulation
AM/PM Conversion
Effects of Nonlinearity: AM/PM Conversion
 AM/PM Conversion arises in systems both dynamic and nonlinear.
Phase shift of
fundamental, Const.
Higher harmonic
If R1C1(t)ω1 << 1 rad
Assume that
obtaining
 Undesired phase deviation (PM) that is caused by amplitude variations (AM) of the system.
AM/PM Conversion (APC)
1 1( ) cosinV t V t
Sinusoid frequency ω1 through a
first-order low-pass RC section
 No AM/PM conversion because of the first-order dependence of C1 on Vout.
First order voltage dependence:
AM/PM Conversion: Time-Variation of Capacitor
Example of AM/PM Conversion: Second
Order Voltage Dependence
Suppose C1 in above RC section is expressed as C1 = C0(1 + α1Vout + α2Vout
2). Study the AM/PM
conversion in this case if Vin(t) = V1 cos ω1t.
 The phase shift of the fundamental now contains an
input-dependent term, -(α2R1C0ω1V1
2 )/2.
 This figure also suggests that AM/PM conversion
does not occur if the capacitor voltage dependence
is odd-symmetric.
Figure below plots C1(t) for small and large input swings, revealing that Cavg indeed depends on
the amplitude.
Phase shift of
fundamental, input-depet.
Thanks for your attention

More Related Content

What's hot

GPS sensitivity questions and its HW RF consideration
GPS sensitivity questions and its HW RF considerationGPS sensitivity questions and its HW RF consideration
GPS sensitivity questions and its HW RF consideration
Pei-Che Chang
 
Receiver sensitivity Design Trade-Offs
Receiver sensitivity Design Trade-OffsReceiver sensitivity Design Trade-Offs
Receiver sensitivity Design Trade-Offs
HamidKiabi
 
GPS RF Front End Considerations
GPS RF Front End ConsiderationsGPS RF Front End Considerations
GPS RF Front End Considerations
criterion123
 
WIFI Spectrum Emission Mask Issue
WIFI Spectrum Emission Mask IssueWIFI Spectrum Emission Mask Issue
WIFI Spectrum Emission Mask Issue
criterion123
 
lecture4.ppt
lecture4.pptlecture4.ppt
lecture4.ppt
ssuserb4d806
 
System(board level) noise figure analysis and optimization
System(board level) noise figure analysis and optimizationSystem(board level) noise figure analysis and optimization
System(board level) noise figure analysis and optimization
criterion123
 
Performance Requirement and Lessons Learnt of LTE Terminal_Transmitter Part
Performance Requirement and Lessons Learnt of LTE Terminal_Transmitter PartPerformance Requirement and Lessons Learnt of LTE Terminal_Transmitter Part
Performance Requirement and Lessons Learnt of LTE Terminal_Transmitter Part
criterion123
 
Digital Modulation Unit 3
Digital Modulation Unit 3Digital Modulation Unit 3
Digital Modulation Unit 3
Anil Nigam
 
The ABCs of ADCs Understanding How ADC Errors Affect System Performance
The ABCs of ADCs Understanding How ADC Errors Affect System PerformanceThe ABCs of ADCs Understanding How ADC Errors Affect System Performance
The ABCs of ADCs Understanding How ADC Errors Affect System Performance
criterion123
 
B2 desence
B2 desenceB2 desence
B2 desence
Pei-Che Chang
 
Relationships Among EVM, BER and SNR + WiFi minimum SNR consideration
Relationships Among EVM, BER and SNR + WiFi minimum SNR considerationRelationships Among EVM, BER and SNR + WiFi minimum SNR consideration
Relationships Among EVM, BER and SNR + WiFi minimum SNR consideration
Pei-Che Chang
 
Passive component z versus freq
Passive component z versus freqPassive component z versus freq
Passive component z versus freq
Pei-Che Chang
 
Path Loss and Shadowing
Path Loss and ShadowingPath Loss and Shadowing
Path Loss and Shadowing
Yash Gupta
 
Introduction to modern receiver
Introduction to modern receiverIntroduction to modern receiver
Introduction to modern receiver
criterion123
 
PAPR Reduction
PAPR ReductionPAPR Reduction
PAPR Reduction
Pei-Che Chang
 
CDMA Zero-IF Receiver Consideration
CDMA  Zero-IF Receiver ConsiderationCDMA  Zero-IF Receiver Consideration
CDMA Zero-IF Receiver Consideration
criterion123
 
GNSS De-sense By IMT and PCS DA Output
GNSS De-sense By IMT and PCS DA OutputGNSS De-sense By IMT and PCS DA Output
GNSS De-sense By IMT and PCS DA Output
criterion123
 
A Study On TX Leakage In 4G LTE Handset Terminals
A Study On TX Leakage In 4G LTE Handset TerminalsA Study On TX Leakage In 4G LTE Handset Terminals
A Study On TX Leakage In 4G LTE Handset Terminals
criterion123
 
Fundamentals of RF Systems
Fundamentals of RF SystemsFundamentals of RF Systems
Fundamentals of RF SystemsYong Heui Cho
 
Carrier Aggregation Discussion
Carrier Aggregation DiscussionCarrier Aggregation Discussion
Carrier Aggregation Discussion
criterion123
 

What's hot (20)

GPS sensitivity questions and its HW RF consideration
GPS sensitivity questions and its HW RF considerationGPS sensitivity questions and its HW RF consideration
GPS sensitivity questions and its HW RF consideration
 
Receiver sensitivity Design Trade-Offs
Receiver sensitivity Design Trade-OffsReceiver sensitivity Design Trade-Offs
Receiver sensitivity Design Trade-Offs
 
GPS RF Front End Considerations
GPS RF Front End ConsiderationsGPS RF Front End Considerations
GPS RF Front End Considerations
 
WIFI Spectrum Emission Mask Issue
WIFI Spectrum Emission Mask IssueWIFI Spectrum Emission Mask Issue
WIFI Spectrum Emission Mask Issue
 
lecture4.ppt
lecture4.pptlecture4.ppt
lecture4.ppt
 
System(board level) noise figure analysis and optimization
System(board level) noise figure analysis and optimizationSystem(board level) noise figure analysis and optimization
System(board level) noise figure analysis and optimization
 
Performance Requirement and Lessons Learnt of LTE Terminal_Transmitter Part
Performance Requirement and Lessons Learnt of LTE Terminal_Transmitter PartPerformance Requirement and Lessons Learnt of LTE Terminal_Transmitter Part
Performance Requirement and Lessons Learnt of LTE Terminal_Transmitter Part
 
Digital Modulation Unit 3
Digital Modulation Unit 3Digital Modulation Unit 3
Digital Modulation Unit 3
 
The ABCs of ADCs Understanding How ADC Errors Affect System Performance
The ABCs of ADCs Understanding How ADC Errors Affect System PerformanceThe ABCs of ADCs Understanding How ADC Errors Affect System Performance
The ABCs of ADCs Understanding How ADC Errors Affect System Performance
 
B2 desence
B2 desenceB2 desence
B2 desence
 
Relationships Among EVM, BER and SNR + WiFi minimum SNR consideration
Relationships Among EVM, BER and SNR + WiFi minimum SNR considerationRelationships Among EVM, BER and SNR + WiFi minimum SNR consideration
Relationships Among EVM, BER and SNR + WiFi minimum SNR consideration
 
Passive component z versus freq
Passive component z versus freqPassive component z versus freq
Passive component z versus freq
 
Path Loss and Shadowing
Path Loss and ShadowingPath Loss and Shadowing
Path Loss and Shadowing
 
Introduction to modern receiver
Introduction to modern receiverIntroduction to modern receiver
Introduction to modern receiver
 
PAPR Reduction
PAPR ReductionPAPR Reduction
PAPR Reduction
 
CDMA Zero-IF Receiver Consideration
CDMA  Zero-IF Receiver ConsiderationCDMA  Zero-IF Receiver Consideration
CDMA Zero-IF Receiver Consideration
 
GNSS De-sense By IMT and PCS DA Output
GNSS De-sense By IMT and PCS DA OutputGNSS De-sense By IMT and PCS DA Output
GNSS De-sense By IMT and PCS DA Output
 
A Study On TX Leakage In 4G LTE Handset Terminals
A Study On TX Leakage In 4G LTE Handset TerminalsA Study On TX Leakage In 4G LTE Handset Terminals
A Study On TX Leakage In 4G LTE Handset Terminals
 
Fundamentals of RF Systems
Fundamentals of RF SystemsFundamentals of RF Systems
Fundamentals of RF Systems
 
Carrier Aggregation Discussion
Carrier Aggregation DiscussionCarrier Aggregation Discussion
Carrier Aggregation Discussion
 

Viewers also liked

4G Backhaul: Accept the challenge
4G Backhaul: Accept the challenge4G Backhaul: Accept the challenge
4G Backhaul: Accept the challenge
Mario Eguiluz Alebicto
 
Lte-u note
Lte-u noteLte-u note
Lte-u note
Pei-Che Chang
 
PA Output Notch Filter Consideration
PA Output Notch Filter ConsiderationPA Output Notch Filter Consideration
PA Output Notch Filter Consideration
criterion123
 
C5 correlation function and power spectrum density of a signal
C5 correlation function and power spectrum density of a signalC5 correlation function and power spectrum density of a signal
C5 correlation function and power spectrum density of a signal
Pei-Che Chang
 
Tim day cto presentation - lc
Tim day   cto presentation - lcTim day   cto presentation - lc
Tim day cto presentation - lc
TIM RI
 
4G wireless
4G wireless4G wireless
4G wirelessPavan K
 
Jaringan Komputer (4G LTE)
Jaringan Komputer (4G LTE)Jaringan Komputer (4G LTE)
Jaringan Komputer (4G LTE)
zaenal mustofa
 
Fast fading, Slow fading and Multipath effect in wireless communications
Fast fading, Slow fading and Multipath effect in wireless communicationsFast fading, Slow fading and Multipath effect in wireless communications
Fast fading, Slow fading and Multipath effect in wireless communications
Pei-Che Chang
 
How to solve ACLR issue
How to solve ACLR issueHow to solve ACLR issue
How to solve ACLR issue
criterion123
 
Introduction to differential signal -For RF and EMC engineer
Introduction to differential signal -For RF and EMC engineerIntroduction to differential signal -For RF and EMC engineer
Introduction to differential signal -For RF and EMC engineer
criterion123
 
NF vs QTINF
NF vs QTINFNF vs QTINF
NF vs QTINF
Pei-Che Chang
 
LTE ADVANCED PPT
LTE ADVANCED PPTLTE ADVANCED PPT
LTE ADVANCED PPT
Trinath
 
The 4G LTE Auction in Thailand
The 4G LTE Auction in ThailandThe 4G LTE Auction in Thailand
The 4G LTE Auction in Thailand
YOZZO
 
Tele rf basic of drive test
Tele rf basic of drive test Tele rf basic of drive test
Tele rf basic of drive test MohaSyed
 
Lte(long term evolution) 4G LTE
Lte(long term evolution) 4G LTELte(long term evolution) 4G LTE
Lte(long term evolution) 4G LTE
kaishik gundu
 
Voice in 4G: CSFB, VoIP & VoLTE
Voice in 4G: CSFB, VoIP & VoLTEVoice in 4G: CSFB, VoIP & VoLTE
Voice in 4G: CSFB, VoIP & VoLTE
3G4G
 
4G Mobile Network & Applications
4G Mobile Network & Applications4G Mobile Network & Applications
4G Mobile Network & Applications
Kuncoro Wastuwibowo
 
4 g technology
4 g technology4 g technology
4 g technology
Madhumithah Ilango
 
How to dimension user traffic in LTE
How to dimension user traffic in LTEHow to dimension user traffic in LTE
How to dimension user traffic in LTE
Althaf Hussain
 
Lte Presentation.Ppt
Lte Presentation.PptLte Presentation.Ppt
Lte Presentation.Ppt
vaimalik
 

Viewers also liked (20)

4G Backhaul: Accept the challenge
4G Backhaul: Accept the challenge4G Backhaul: Accept the challenge
4G Backhaul: Accept the challenge
 
Lte-u note
Lte-u noteLte-u note
Lte-u note
 
PA Output Notch Filter Consideration
PA Output Notch Filter ConsiderationPA Output Notch Filter Consideration
PA Output Notch Filter Consideration
 
C5 correlation function and power spectrum density of a signal
C5 correlation function and power spectrum density of a signalC5 correlation function and power spectrum density of a signal
C5 correlation function and power spectrum density of a signal
 
Tim day cto presentation - lc
Tim day   cto presentation - lcTim day   cto presentation - lc
Tim day cto presentation - lc
 
4G wireless
4G wireless4G wireless
4G wireless
 
Jaringan Komputer (4G LTE)
Jaringan Komputer (4G LTE)Jaringan Komputer (4G LTE)
Jaringan Komputer (4G LTE)
 
Fast fading, Slow fading and Multipath effect in wireless communications
Fast fading, Slow fading and Multipath effect in wireless communicationsFast fading, Slow fading and Multipath effect in wireless communications
Fast fading, Slow fading and Multipath effect in wireless communications
 
How to solve ACLR issue
How to solve ACLR issueHow to solve ACLR issue
How to solve ACLR issue
 
Introduction to differential signal -For RF and EMC engineer
Introduction to differential signal -For RF and EMC engineerIntroduction to differential signal -For RF and EMC engineer
Introduction to differential signal -For RF and EMC engineer
 
NF vs QTINF
NF vs QTINFNF vs QTINF
NF vs QTINF
 
LTE ADVANCED PPT
LTE ADVANCED PPTLTE ADVANCED PPT
LTE ADVANCED PPT
 
The 4G LTE Auction in Thailand
The 4G LTE Auction in ThailandThe 4G LTE Auction in Thailand
The 4G LTE Auction in Thailand
 
Tele rf basic of drive test
Tele rf basic of drive test Tele rf basic of drive test
Tele rf basic of drive test
 
Lte(long term evolution) 4G LTE
Lte(long term evolution) 4G LTELte(long term evolution) 4G LTE
Lte(long term evolution) 4G LTE
 
Voice in 4G: CSFB, VoIP & VoLTE
Voice in 4G: CSFB, VoIP & VoLTEVoice in 4G: CSFB, VoIP & VoLTE
Voice in 4G: CSFB, VoIP & VoLTE
 
4G Mobile Network & Applications
4G Mobile Network & Applications4G Mobile Network & Applications
4G Mobile Network & Applications
 
4 g technology
4 g technology4 g technology
4 g technology
 
How to dimension user traffic in LTE
How to dimension user traffic in LTEHow to dimension user traffic in LTE
How to dimension user traffic in LTE
 
Lte Presentation.Ppt
Lte Presentation.PptLte Presentation.Ppt
Lte Presentation.Ppt
 

Similar to Nonlinearity

21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx
21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx
21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx
DEEPAKCHAURASIYA37
 
Demodulation of AM wave
Demodulation of AM waveDemodulation of AM wave
Demodulation of AM wave
Lokesh Parihar
 
Tuned amplifire
Tuned amplifireTuned amplifire
Tuned amplifire
rakesh mandiya
 
Design of a Low Noise Amplifier using 0.18μm CMOS technology
Design of a Low Noise Amplifier using 0.18μm CMOS technologyDesign of a Low Noise Amplifier using 0.18μm CMOS technology
Design of a Low Noise Amplifier using 0.18μm CMOS technology
theijes
 
Analog communicationintroduction
Analog communicationintroductionAnalog communicationintroduction
Analog communicationintroductionsrilaxmi524
 
Tuned amplifiers
Tuned amplifiersTuned amplifiers
Tuned amplifiers
herald Rufus
 
Noise in RF microelectronics
Noise in RF microelectronicsNoise in RF microelectronics
Noise in RF microelectronics
Ahmed Sakr
 
Electronics and Communication Engineering
Electronics and Communication EngineeringElectronics and Communication Engineering
Electronics and Communication Engineering
Ekeeda
 
O045039194
O045039194O045039194
O045039194
IJERA Editor
 
gvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptx
gvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptxgvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptx
gvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptx
DEEPAKCHAURASIYA37
 
THD_Optimizer_Circuits_for_PFC_Pre_Regul.pdf
THD_Optimizer_Circuits_for_PFC_Pre_Regul.pdfTHD_Optimizer_Circuits_for_PFC_Pre_Regul.pdf
THD_Optimizer_Circuits_for_PFC_Pre_Regul.pdf
AbhishekSingh313080
 
9 mod analog_am_fm (1)
9 mod analog_am_fm (1)9 mod analog_am_fm (1)
9 mod analog_am_fm (1)mirla manama
 
Instrumentation amplifier
Instrumentation amplifierInstrumentation amplifier
Instrumentation amplifier
mohdabuzar5
 
Lecture Notes: EEEC6440315 Communication Systems - Analogue Modulation
Lecture Notes:  EEEC6440315 Communication Systems - Analogue ModulationLecture Notes:  EEEC6440315 Communication Systems - Analogue Modulation
Lecture Notes: EEEC6440315 Communication Systems - Analogue Modulation
AIMST University
 
Amplitude modulation
Amplitude modulationAmplitude modulation
Amplitude modulationavocado1111
 
Frequency Response.pptx
Frequency Response.pptxFrequency Response.pptx
Frequency Response.pptx
DebasishMohanta16
 
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdfCOMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMPETITIVEGURUJI
 
OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...
OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...
OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...
Kramikauniyal
 

Similar to Nonlinearity (20)

21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx
21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx
21EEB0A12_Deepak_Chaurasiyahugytfrd5er.pptx
 
Demodulation of AM wave
Demodulation of AM waveDemodulation of AM wave
Demodulation of AM wave
 
Tuned amplifire
Tuned amplifireTuned amplifire
Tuned amplifire
 
Design of a Low Noise Amplifier using 0.18μm CMOS technology
Design of a Low Noise Amplifier using 0.18μm CMOS technologyDesign of a Low Noise Amplifier using 0.18μm CMOS technology
Design of a Low Noise Amplifier using 0.18μm CMOS technology
 
Analog communicationintroduction
Analog communicationintroductionAnalog communicationintroduction
Analog communicationintroduction
 
Tuned amplifiers
Tuned amplifiersTuned amplifiers
Tuned amplifiers
 
Inverter 2003
Inverter 2003Inverter 2003
Inverter 2003
 
Noise in RF microelectronics
Noise in RF microelectronicsNoise in RF microelectronics
Noise in RF microelectronics
 
Electronics and Communication Engineering
Electronics and Communication EngineeringElectronics and Communication Engineering
Electronics and Communication Engineering
 
O045039194
O045039194O045039194
O045039194
 
gvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptx
gvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptxgvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptx
gvfctdrxserxdcytfvygbhunijihbugvyftcdrxesxrdctfgvybuh.pptx
 
MAJOE PROJECT PPT
MAJOE PROJECT PPTMAJOE PROJECT PPT
MAJOE PROJECT PPT
 
THD_Optimizer_Circuits_for_PFC_Pre_Regul.pdf
THD_Optimizer_Circuits_for_PFC_Pre_Regul.pdfTHD_Optimizer_Circuits_for_PFC_Pre_Regul.pdf
THD_Optimizer_Circuits_for_PFC_Pre_Regul.pdf
 
9 mod analog_am_fm (1)
9 mod analog_am_fm (1)9 mod analog_am_fm (1)
9 mod analog_am_fm (1)
 
Instrumentation amplifier
Instrumentation amplifierInstrumentation amplifier
Instrumentation amplifier
 
Lecture Notes: EEEC6440315 Communication Systems - Analogue Modulation
Lecture Notes:  EEEC6440315 Communication Systems - Analogue ModulationLecture Notes:  EEEC6440315 Communication Systems - Analogue Modulation
Lecture Notes: EEEC6440315 Communication Systems - Analogue Modulation
 
Amplitude modulation
Amplitude modulationAmplitude modulation
Amplitude modulation
 
Frequency Response.pptx
Frequency Response.pptxFrequency Response.pptx
Frequency Response.pptx
 
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdfCOMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
 
OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...
OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...
OPERATIONAL AMPLIFIERS, DIFFERENTIAL, NON-INVERTING AND INSTRUMENTATIONAL AMP...
 

More from Pei-Che Chang

PLL Note
PLL NotePLL Note
PLL Note
Pei-Che Chang
 
Phase Locked Loops (PLL) 1
Phase Locked Loops (PLL) 1Phase Locked Loops (PLL) 1
Phase Locked Loops (PLL) 1
Pei-Che Chang
 
NTHU Comm Presentation
NTHU Comm PresentationNTHU Comm Presentation
NTHU Comm Presentation
Pei-Che Chang
 
Introduction to Compressive Sensing in Wireless Communication
Introduction to Compressive Sensing in Wireless CommunicationIntroduction to Compressive Sensing in Wireless Communication
Introduction to Compressive Sensing in Wireless Communication
Pei-Che Chang
 
Distributed Architecture of Subspace Clustering and Related
Distributed Architecture of Subspace Clustering and RelatedDistributed Architecture of Subspace Clustering and Related
Distributed Architecture of Subspace Clustering and Related
Pei-Che Chang
 
PMF BPMF and BPTF
PMF BPMF and BPTFPMF BPMF and BPTF
PMF BPMF and BPTF
Pei-Che Chang
 
Distributed ADMM
Distributed ADMMDistributed ADMM
Distributed ADMM
Pei-Che Chang
 
Brief Introduction About Topological Interference Management (TIM)
Brief Introduction About Topological Interference Management (TIM)Brief Introduction About Topological Interference Management (TIM)
Brief Introduction About Topological Interference Management (TIM)
Pei-Che Chang
 
Patch antenna
Patch antennaPatch antenna
Patch antenna
Pei-Che Chang
 
Antenna basic
Antenna basicAntenna basic
Antenna basic
Pei-Che Chang
 
Channel Estimation
Channel EstimationChannel Estimation
Channel Estimation
Pei-Che Chang
 
Introduction to OFDM
Introduction to OFDMIntroduction to OFDM
Introduction to OFDM
Pei-Che Chang
 
The Wireless Channel Propagation
The Wireless Channel PropagationThe Wireless Channel Propagation
The Wireless Channel Propagation
Pei-Che Chang
 
MIMO Channel Capacity
MIMO Channel CapacityMIMO Channel Capacity
MIMO Channel Capacity
Pei-Che Chang
 
Digital Passband Communication
Digital Passband CommunicationDigital Passband Communication
Digital Passband Communication
Pei-Che Chang
 
Digital Baseband Communication
Digital Baseband CommunicationDigital Baseband Communication
Digital Baseband Communication
Pei-Che Chang
 
The relationship between bandwidth and rise time
The relationship between bandwidth and rise timeThe relationship between bandwidth and rise time
The relationship between bandwidth and rise time
Pei-Che Chang
 
Millimeter wave 5G antennas for smartphones
Millimeter wave 5G antennas for smartphonesMillimeter wave 5G antennas for smartphones
Millimeter wave 5G antennas for smartphones
Pei-Che Chang
 
Introduction of GPS BPSK-R and BOC
Introduction of GPS BPSK-R and BOCIntroduction of GPS BPSK-R and BOC
Introduction of GPS BPSK-R and BOC
Pei-Che Chang
 
Intermodulation distortion derivation
Intermodulation distortion derivationIntermodulation distortion derivation
Intermodulation distortion derivation
Pei-Che Chang
 

More from Pei-Che Chang (20)

PLL Note
PLL NotePLL Note
PLL Note
 
Phase Locked Loops (PLL) 1
Phase Locked Loops (PLL) 1Phase Locked Loops (PLL) 1
Phase Locked Loops (PLL) 1
 
NTHU Comm Presentation
NTHU Comm PresentationNTHU Comm Presentation
NTHU Comm Presentation
 
Introduction to Compressive Sensing in Wireless Communication
Introduction to Compressive Sensing in Wireless CommunicationIntroduction to Compressive Sensing in Wireless Communication
Introduction to Compressive Sensing in Wireless Communication
 
Distributed Architecture of Subspace Clustering and Related
Distributed Architecture of Subspace Clustering and RelatedDistributed Architecture of Subspace Clustering and Related
Distributed Architecture of Subspace Clustering and Related
 
PMF BPMF and BPTF
PMF BPMF and BPTFPMF BPMF and BPTF
PMF BPMF and BPTF
 
Distributed ADMM
Distributed ADMMDistributed ADMM
Distributed ADMM
 
Brief Introduction About Topological Interference Management (TIM)
Brief Introduction About Topological Interference Management (TIM)Brief Introduction About Topological Interference Management (TIM)
Brief Introduction About Topological Interference Management (TIM)
 
Patch antenna
Patch antennaPatch antenna
Patch antenna
 
Antenna basic
Antenna basicAntenna basic
Antenna basic
 
Channel Estimation
Channel EstimationChannel Estimation
Channel Estimation
 
Introduction to OFDM
Introduction to OFDMIntroduction to OFDM
Introduction to OFDM
 
The Wireless Channel Propagation
The Wireless Channel PropagationThe Wireless Channel Propagation
The Wireless Channel Propagation
 
MIMO Channel Capacity
MIMO Channel CapacityMIMO Channel Capacity
MIMO Channel Capacity
 
Digital Passband Communication
Digital Passband CommunicationDigital Passband Communication
Digital Passband Communication
 
Digital Baseband Communication
Digital Baseband CommunicationDigital Baseband Communication
Digital Baseband Communication
 
The relationship between bandwidth and rise time
The relationship between bandwidth and rise timeThe relationship between bandwidth and rise time
The relationship between bandwidth and rise time
 
Millimeter wave 5G antennas for smartphones
Millimeter wave 5G antennas for smartphonesMillimeter wave 5G antennas for smartphones
Millimeter wave 5G antennas for smartphones
 
Introduction of GPS BPSK-R and BOC
Introduction of GPS BPSK-R and BOCIntroduction of GPS BPSK-R and BOC
Introduction of GPS BPSK-R and BOC
 
Intermodulation distortion derivation
Intermodulation distortion derivationIntermodulation distortion derivation
Intermodulation distortion derivation
 

Recently uploaded

Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
MdTanvirMahtab2
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
Kamal Acharya
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
Jayaprasanna4
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
Jayaprasanna4
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
Divya Somashekar
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
PrashantGoswami42
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
Kamal Acharya
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
AhmedHussein950959
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
Osamah Alsalih
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 

Recently uploaded (20)

Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
 

Nonlinearity

  • 1. Short Talk - Nonlinearity Jay Chang July 9 2015
  • 2. Agenda Harmonic Distortion Gain Compression Cross Modulation Intermodulation AM/PM Conversion
  • 3. Agenda Harmonic Distortion Gain Compression Cross Modulation Intermodulation AM/PM Conversion
  • 4.  Even-order harmonics result from αj with even j.  nth harmonic grows in proportion to An. DC Fundamental Second Harmonic Third Harmonic Effects of Nonlinearity: Harmonic Distortion Harmonic Distortion 2 3 1 2 3( ) ( ) ( ) ( ). where ( ) cos . y t x t x t x t x t A t         2 3 0 1 2 3( ) ( ) ( ) ( )y t x t x t x t       If only α0 ≠ 0, rectifier convert AC input to DC. If only α1 ≠ 0, linear attenuator (α1 < 1) and linear amplifier (α1 > 1). If only α2 ≠ 0, mixer. And in most PA α3 < 0. x(t) y(t)
  • 5. Example of Harmonic Distortion in Mixer Solution: An analog multiplier “mixes” its two inputs below, ideally producing y(t) = kx1(t)x2(t), where k is a constant. Assume x1(t) = A1 cos ω1t and x2(t) = A2 cos ω2t. (a) If the mixer is ideal, determine the output frequency components. (b) If the input port sensing x2(t) suffers from third-order nonlinearity, determine the output frequency components. (a) (b) Ex: B5, B8 and B9 fighting if ω1 = 2π x (850 MHz) and ω2 = 2π x (900 MHz), then |ω1 - 3ω2| = 2π x (1850 MHz), an “undesired” component that is difficult to filter because it lies close to the desired component at ω1 + ω2 = 2π x (1750 MHz).
  • 6. Agenda Harmonic Distortion Gain Compression Cross Modulation Intermodulation AM/PM Conversion
  • 7. Effects of Nonlinearity: Gain Compression Gain Compression Expansive Compressive  Most RF circuit of interest are compressive, we focus on this type.  Output falls below its ideal value by 1 dB at the 1-dB compression point.  Peak value instead of peak-to-peak value.  P1dB is typically in the range of -20 to -25 dBm (63.2 to 35.6 mVpp in 50 Ohm system) at the input of RF receivers. 3 1 3 2 1 3 3 cos 34 gain compression. cos 4 v A A t G A A t               
  • 8. Gain Compression: Effect on FM and AM Waveforms  FM signal carries no information in its amplitude and hence tolerates compression (i.e., amplitude limiting).  AM contain information in the amplitude, hence distorted by compression.
  • 9.  Desensitization: the receiver gain is reduced by the large excursions produced by the interferer even though the desired signal itself is small.  Rx must be able to withstand blockers that are 60 to 70 dB greater than the desired signal. For A1 << A2 Gain Compression: Desensitization 2 3 1 2 3 1 1 2 2 ( ) ( ) ( ) ( ). where ( ) cos cos . y t x t x t x t x t A t A t           2 1 3 1 2 1 3 2 3 if 0, when the gain drop to zero. 2 A A A    = In math 
  • 10. Agenda Harmonic Distortion Gain Compression Cross Modulation Intermodulation AM/PM Conversion
  • 11. Effects of Nonlinearity: Cross Modulation Cross Modulation  Desired signal at output suffers from amplitude modulation at ωm and 2ωm. Suppose that the interferer is an amplitude-modulated signal Thus when a weak signal and a strong interferer pass through a nonlinear system is the transfer of modulation from the interferer to the signal.  2 21 cos cosmA m t t 
  • 12. Effects of Nonlinearity: Cross Modulation  Wanted signal(fRX) corruption due to the cross-modulation of an amplitude-modulated blocker with a CW jammer close to the RX channel.  Wanted signal(fRX) corruption due to the intermodulation of an amplitude-modulated blocker (the aggressor TX) with a CW jammer.
  • 13.  LNA輸入端, 會同時存在三種訊號: Blocker、TX、RX, 兩種訊號便可產生IMD (Intermodulation), 亦即這三種訊號中, 隨意任兩種便可產生IMD. Effects of Nonlinearity: Cross Modulation
  • 14. Agenda Harmonic Distortion Gain Compression Cross Modulation Intermodulation AM/PM Conversion
  • 15. Harmonic distortion Desensitization Intermodulation So far we have considered the case of:  Single Signal  Signal + one large interferer  Signal + two large interferers Effects of Nonlinearity: Intermodulation- Recall Previous Discussion
  • 16. Effects of Nonlinearity: Intermodulation Intermodulation assume Thus Intermodulation products: Fundamental components:
  • 17. Intermodulation Product Falling on Desired Channel desired Interferer  A received small desired signal along with two large interferers.  Intermodulation product falls onto the desired channel, corrupts signal.
  • 18.  IP3 is not a directly measureable quantity, but a point obtained by extrapolation. Intermodulation: Third Intercept Point
  • 19.  PA: power range that is limited at the low end by noise and at the high end by the compression point. This is essentially the linear operating range for the amplifier, and is called the linear dynamic range (DRl).  LNA or mixer: operation may be limited by noise at the low end and the maximum power level for which intermodulation distortion becomes unacceptable. This is effectively the operating range for which spurious responses are minimal, and is called the spurious-free dynamic range (DRf). Intermodulation: Dynamic Range
  • 20. Effects of Nonlinearity: Cascaded Nonlinear Stages Considering only the first- and third-order terms, we have: Thus,
  • 21.  To “refer” the IP3 of the second stage to the input of the cascade, we must divide it by α1. Thus, the higher the gain of the first stage, the more nonlinearity is contributed by the second stage. Cascaded Nonlinear Stages: Intuitive results 1 3total IP  
  • 22. 1 2( ) cos cosx t A t A t   IM Spectra in a Cascade (I) identify the IM products in a cascade
  • 23. IM Spectra in a Cascade (II) Adding the amplitudes of the IM products, we have  Add in phase as worst-case scenario.  Heavily attenuated in narrow-band circuits.  Thus, if each stage in a cascade has a gain greater than unity, the nonlinearity of the latter stages becomes increasingly more critical because the IP3 of each stage is equivalently scaled down by the total gain preceding that stage. For more stages:
  • 25. Experiment Measurement IP3 Amplifier Two-Tone Test Mixer Two-Tone Test 1 1 2 1 0 2 33 2 in IP P P G P P P         1 2 12 3 3 0 3 2 3 IP IP P P P IIP P G       
  • 26. Agenda Harmonic Distortion Gain Compression Cross Modulation Intermodulation AM/PM Conversion
  • 27. Effects of Nonlinearity: AM/PM Conversion  AM/PM Conversion arises in systems both dynamic and nonlinear. Phase shift of fundamental, Const. Higher harmonic If R1C1(t)ω1 << 1 rad Assume that obtaining  Undesired phase deviation (PM) that is caused by amplitude variations (AM) of the system. AM/PM Conversion (APC) 1 1( ) cosinV t V t Sinusoid frequency ω1 through a first-order low-pass RC section
  • 28.  No AM/PM conversion because of the first-order dependence of C1 on Vout. First order voltage dependence: AM/PM Conversion: Time-Variation of Capacitor
  • 29. Example of AM/PM Conversion: Second Order Voltage Dependence Suppose C1 in above RC section is expressed as C1 = C0(1 + α1Vout + α2Vout 2). Study the AM/PM conversion in this case if Vin(t) = V1 cos ω1t.  The phase shift of the fundamental now contains an input-dependent term, -(α2R1C0ω1V1 2 )/2.  This figure also suggests that AM/PM conversion does not occur if the capacitor voltage dependence is odd-symmetric. Figure below plots C1(t) for small and large input swings, revealing that Cavg indeed depends on the amplitude. Phase shift of fundamental, input-depet.
  • 30.
  • 31. Thanks for your attention