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Spread Spectrum Communication
5/5/20201 nidhi jain
 Spread spectrum communication systems are widely
used today in a variety of applications for different
purposes such as access of same radio spectrum by
multiple users (multiple access), anti-jamming
capability (so that signal transmission can not be
interrupted or blocked by spurious transmission from
enemy), interference rejection, secure
communications, multi-path protection, etc.
However, irrespective of the application, all spread
spectrum communication systems satisfy the
following criteria-
 (i) As the name suggests, bandwidth of the
transmitted signal is much greater than that of the
message that modulates a carrier.
 (ii) The transmission bandwidth is determined by a
factor independent of the message bandwidth.
5/5/20202 nidhi jain
 The power spectral density of the modulated signal is
very low and usually comparable to background noise
and interference at the receiver.
 SS is widely used to solve a problem of security that
means SS is a technique for secure communication.
 SS is pseudorandom in nature. This makes it appear like
random noise.
 The normal receiver can not demodulate it to recover the
original signal.
 A pseudorandom process is a process that appears to
be random but is not. Pseudorandom sequences typically
exhibit statistical randomness while being generated by
an entirely deterministic causal process.
 Such a process is easier to produce than a genuinely
random one, and has the benefit that it can be used
again and again to produce exactly the same numbers.
5/5/20203 nidhi jain
Advantages of Spread Spectrum
(SS) Techniques
 a) Reduced interference: In SS systems, interference from
undesired sources is considerably reduced due to the processing
gain of the system.
 b) Low susceptibility to multi-path fading: Because of its
inherent frequency diversity properties, a spread spectrum
system offers resistance to degradation in signal quality due to
multi-path fading. This is particularly beneficial for designing
mobile communication systems.
 c) Co-existence of multiple systems: With proper design of
pseudo-random sequences, multiple spread spectrum systems
can co-exist.
 d) Immunity to jamming: An important feature of spread
spectrum is its ability to withstand strong interference,
sometimes generated by an enemy to block the communication
link. This is one reason for extensive use of the concepts of
spectrum spreading in military communications. 5/5/20204 nidhi jain
Types of SS
 Based on the kind of spreading modulation,
spread spectrum systems are broadly classified
as-
 (a) Averaging Type
(i) Direct sequence spread spectrum (DS-SS)
 (b) Avoidance type system
(i) Frequency hopping spread spectrum (FH-SS)
systems
(ii) Time hopping spread spectrum (TH-SS)
systems.
(iii) Hybrid systems
(iv) Chirp
5/5/20205 nidhi jain
Spread Spectrum Concept
 Input fed into channel encoder
 Produces narrow bandwidth analog signal around central
frequency
 Signal modulated using sequence of digits
 Spreading code/sequence
 Typically generated by pseudo noise/pseudorandom number
generator
 Increases bandwidth significantly
 Spreads spectrum
 Receiver uses same sequence to demodulate signal
 Demodulated signal fed into channel decoder
5/5/20206 nidhi jain
General Model of Spread Spectrum
System
5/5/20207 nidhi jain
Pseudorandom Sequences
generator
5/5/20208 nidhi jain
5/5/20209 nidhi jain
Pseudorandom Sequences
 The spread of the “random” sequence of
frequencies is determined by a pseudo noise
(PN) sequence generator.
 A PN generator outputs a stream of bits (1s and
0s) that appears random (has no apparent
pattern).
 PN sequence generators are easy to construct
using simple logic components:
 XOR gates, and
 a shift register, made up of flip flops
 A PN sequence is not truly random (hence,
“pseudo”), but is periodic and repeats at a fixed
interval.
5/5/202010 nidhi jain
Pseudorandom Numbers
 Generated by a deterministic algorithm
not actually random
but if algorithm good, results pass reasonable tests
of randomness
 Starting from an initial seed
 Need to know algorithm and seed to predict
sequence
 Hence only receiver can decode signal
5/5/202011 nidhi jain
 The PN sequence length is the number of iterations
(the number of 1s and 0s) before the sequence
repeats.
 The sequence length is determined by the:
number of flip flops, n, in the shift register
selection of feedback taps that are applied to one or
more XOR gates.
 The sequence length can have a maximum value of:
 Maximum PN Sequence length=(2^n)-1 ; n is no. of
FF.
 A PN sequence that has this length is said to be a
maximal length sequence.
5/5/202012 nidhi jain
 Assuming the circuit below is a maximal length
PN sequence generator, how many outputs (1s
and 0s) would it produce before the sequence
repeats?
5/5/202013 nidhi jain
Direct Sequence Spread Spectrum
(DSSS)
 Each bit represented by multiple bits using spreading
code
 Spreading code spreads signal across wider
frequency band
 In proportion to number of bits used
 10 bit spreading code spreads signal across 10 times
bandwidth of 1 bit code
 One method:
 Combine input with spreading code using XOR
 Input bit 1 inverts spreading code bit
 Input zero bit doesn’t alter spreading code bit
 Data rate equal to original spreading code
 Performance similar to FHSS
5/5/202014 nidhi jain
5/5/202015 nidhi jain
Direct Sequence Spread Spectrum
Transmitter
5/5/202016 nidhi jain
Direct Sequence Spread Spectrum
Receiver
5/5/202017 nidhi jain
Frequency Hopping Spread
Spectrum (FHSS)
 Signal broadcast over seemingly random series
of frequencies
 Receiver hops between frequencies in sync with
transmitter
 Eavesdroppers hear unintelligible blips
 Jamming on one frequency affects only a few bits
5/5/202018 nidhi jain
Basic Operation
 Typically 2k carriers frequencies forming 2k
channels
 Channel spacing corresponds with bandwidth of
input
 Each channel used for fixed interval
 300 ms in IEEE 802.11
 Some number of bits transmitted using some
encoding scheme
 May be fractions of bit (see later)
 Sequence dictated by spreading code
5/5/202019 nidhi jain
Frequency Hopping Example
5/5/202020 nidhi jain
Frequency Hopping Spread
Spectrum System (Transmitter)
5/5/202021 nidhi jain
Frequency Hopping Spread
Spectrum System (Receiver)
5/5/202022 nidhi jain
3D view of FHSS
5/5/202023 nidhi jain
Slow and Fast FHSS
 Frequency shifted every Tc seconds
 Duration of signal element is Ts seconds
 Slow FHSS has Tc  Ts
 Fast FHSS has Tc < Ts
 Generally fast FHSS gives improved performance
in noise (or jamming)
5/5/202024 nidhi jain
Slow Frequency Hop Spread Spectrum
Using MFSK (M=4, k=2)
5/5/202025 nidhi jain
Fast Frequency Hop Spread Spectrum
Using MFSK (M=4, k=2)
5/5/202026 nidhi jain
CDMA( Code Division Multiple
Access)
A method for multiple access {single channel ; multiple users}
• The conventional method was FDMA. Then , after developing
synchronization methods, TDMA was introduced
In early 1980s CDMA was introduced
• First for military usage.
• In early 1990s used in Cellular Communication
Systems
5/5/202027 nidhi jain
General concept of CDMA
Transmitted signal occupies a bandwidth much larger than the original
signal !
• The bandwidth is spread by means of a PN code independent of the
data
• The receiver synchronizes to the code to recover the data
• Many signals share the same times and frequencies but independent
codes
Spreading a Bit by means of many Chips
5/5/202028 nidhi jain
CDMA in a DSSS Environment
5/5/202029 nidhi jain
Comparison
5/5/202030 nidhi jain
5/5/2020nidhi jain31
OFDM Basic Concept
 Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier
modulation scheme
 First break the data into small portions
 Then use a number of parallel orthogonal sub-carriers to transmit the data
 Conventional transmission uses a single carrier, which is modulated
with all the data to be sent
Single Carrier Company
Multi Carrier Company
5/5/2020nidhi jain32
OFDM Basic Concept
 OFDM is a special case of
Frequency Division Multiplexing
(FDM)
 For FDM
 No special relationship between the
carrier frequencies
 Guard bands have to be inserted to
avoid Adjacent Channel Interference
(ACI)
 For OFDM
 Strict relation between carriers: fk = k·Df
where Df = 1/TU
(TU - symbol period)
 Carriers are orthogonal to each other
and can be packed tight
5/5/2020nidhi jain33
OFDM – Signal properties
Time domain
Frequency domain
Power Spectrum for OFDM symbol
frequency
Multiuser Detection
 Multiuser detection considers all users as signals
for each other -> joint detection
 Reduced interference leads to capacity increase
 Alleviates the near/far problem
 MUD can be implemented in the BS or mobile, or
both
 In a cellular system, base station (BS) has
knowledge of all the chip sequences
 Size and weight requirement for BS is not
stringent
 Therefore MUD is currently being envisioned for
the uplink (mobile to BS) 5/5/202034 nidhi jain
MUD Algorithms
Optimal
MLSE
Decorrelator MMSE
Linear
Multistage Decision
-feedback
Successive
interference
cancellation
Non-linear
Suboptimal
Multiuser
Receivers
5/5/2020 35nidhi jain
5/5/2020 36nidhi jain

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spread spectrum in digital communication

  • 2.  Spread spectrum communication systems are widely used today in a variety of applications for different purposes such as access of same radio spectrum by multiple users (multiple access), anti-jamming capability (so that signal transmission can not be interrupted or blocked by spurious transmission from enemy), interference rejection, secure communications, multi-path protection, etc. However, irrespective of the application, all spread spectrum communication systems satisfy the following criteria-  (i) As the name suggests, bandwidth of the transmitted signal is much greater than that of the message that modulates a carrier.  (ii) The transmission bandwidth is determined by a factor independent of the message bandwidth. 5/5/20202 nidhi jain
  • 3.  The power spectral density of the modulated signal is very low and usually comparable to background noise and interference at the receiver.  SS is widely used to solve a problem of security that means SS is a technique for secure communication.  SS is pseudorandom in nature. This makes it appear like random noise.  The normal receiver can not demodulate it to recover the original signal.  A pseudorandom process is a process that appears to be random but is not. Pseudorandom sequences typically exhibit statistical randomness while being generated by an entirely deterministic causal process.  Such a process is easier to produce than a genuinely random one, and has the benefit that it can be used again and again to produce exactly the same numbers. 5/5/20203 nidhi jain
  • 4. Advantages of Spread Spectrum (SS) Techniques  a) Reduced interference: In SS systems, interference from undesired sources is considerably reduced due to the processing gain of the system.  b) Low susceptibility to multi-path fading: Because of its inherent frequency diversity properties, a spread spectrum system offers resistance to degradation in signal quality due to multi-path fading. This is particularly beneficial for designing mobile communication systems.  c) Co-existence of multiple systems: With proper design of pseudo-random sequences, multiple spread spectrum systems can co-exist.  d) Immunity to jamming: An important feature of spread spectrum is its ability to withstand strong interference, sometimes generated by an enemy to block the communication link. This is one reason for extensive use of the concepts of spectrum spreading in military communications. 5/5/20204 nidhi jain
  • 5. Types of SS  Based on the kind of spreading modulation, spread spectrum systems are broadly classified as-  (a) Averaging Type (i) Direct sequence spread spectrum (DS-SS)  (b) Avoidance type system (i) Frequency hopping spread spectrum (FH-SS) systems (ii) Time hopping spread spectrum (TH-SS) systems. (iii) Hybrid systems (iv) Chirp 5/5/20205 nidhi jain
  • 6. Spread Spectrum Concept  Input fed into channel encoder  Produces narrow bandwidth analog signal around central frequency  Signal modulated using sequence of digits  Spreading code/sequence  Typically generated by pseudo noise/pseudorandom number generator  Increases bandwidth significantly  Spreads spectrum  Receiver uses same sequence to demodulate signal  Demodulated signal fed into channel decoder 5/5/20206 nidhi jain
  • 7. General Model of Spread Spectrum System 5/5/20207 nidhi jain
  • 10. Pseudorandom Sequences  The spread of the “random” sequence of frequencies is determined by a pseudo noise (PN) sequence generator.  A PN generator outputs a stream of bits (1s and 0s) that appears random (has no apparent pattern).  PN sequence generators are easy to construct using simple logic components:  XOR gates, and  a shift register, made up of flip flops  A PN sequence is not truly random (hence, “pseudo”), but is periodic and repeats at a fixed interval. 5/5/202010 nidhi jain
  • 11. Pseudorandom Numbers  Generated by a deterministic algorithm not actually random but if algorithm good, results pass reasonable tests of randomness  Starting from an initial seed  Need to know algorithm and seed to predict sequence  Hence only receiver can decode signal 5/5/202011 nidhi jain
  • 12.  The PN sequence length is the number of iterations (the number of 1s and 0s) before the sequence repeats.  The sequence length is determined by the: number of flip flops, n, in the shift register selection of feedback taps that are applied to one or more XOR gates.  The sequence length can have a maximum value of:  Maximum PN Sequence length=(2^n)-1 ; n is no. of FF.  A PN sequence that has this length is said to be a maximal length sequence. 5/5/202012 nidhi jain
  • 13.  Assuming the circuit below is a maximal length PN sequence generator, how many outputs (1s and 0s) would it produce before the sequence repeats? 5/5/202013 nidhi jain
  • 14. Direct Sequence Spread Spectrum (DSSS)  Each bit represented by multiple bits using spreading code  Spreading code spreads signal across wider frequency band  In proportion to number of bits used  10 bit spreading code spreads signal across 10 times bandwidth of 1 bit code  One method:  Combine input with spreading code using XOR  Input bit 1 inverts spreading code bit  Input zero bit doesn’t alter spreading code bit  Data rate equal to original spreading code  Performance similar to FHSS 5/5/202014 nidhi jain
  • 16. Direct Sequence Spread Spectrum Transmitter 5/5/202016 nidhi jain
  • 17. Direct Sequence Spread Spectrum Receiver 5/5/202017 nidhi jain
  • 18. Frequency Hopping Spread Spectrum (FHSS)  Signal broadcast over seemingly random series of frequencies  Receiver hops between frequencies in sync with transmitter  Eavesdroppers hear unintelligible blips  Jamming on one frequency affects only a few bits 5/5/202018 nidhi jain
  • 19. Basic Operation  Typically 2k carriers frequencies forming 2k channels  Channel spacing corresponds with bandwidth of input  Each channel used for fixed interval  300 ms in IEEE 802.11  Some number of bits transmitted using some encoding scheme  May be fractions of bit (see later)  Sequence dictated by spreading code 5/5/202019 nidhi jain
  • 21. Frequency Hopping Spread Spectrum System (Transmitter) 5/5/202021 nidhi jain
  • 22. Frequency Hopping Spread Spectrum System (Receiver) 5/5/202022 nidhi jain
  • 23. 3D view of FHSS 5/5/202023 nidhi jain
  • 24. Slow and Fast FHSS  Frequency shifted every Tc seconds  Duration of signal element is Ts seconds  Slow FHSS has Tc  Ts  Fast FHSS has Tc < Ts  Generally fast FHSS gives improved performance in noise (or jamming) 5/5/202024 nidhi jain
  • 25. Slow Frequency Hop Spread Spectrum Using MFSK (M=4, k=2) 5/5/202025 nidhi jain
  • 26. Fast Frequency Hop Spread Spectrum Using MFSK (M=4, k=2) 5/5/202026 nidhi jain
  • 27. CDMA( Code Division Multiple Access) A method for multiple access {single channel ; multiple users} • The conventional method was FDMA. Then , after developing synchronization methods, TDMA was introduced In early 1980s CDMA was introduced • First for military usage. • In early 1990s used in Cellular Communication Systems 5/5/202027 nidhi jain
  • 28. General concept of CDMA Transmitted signal occupies a bandwidth much larger than the original signal ! • The bandwidth is spread by means of a PN code independent of the data • The receiver synchronizes to the code to recover the data • Many signals share the same times and frequencies but independent codes Spreading a Bit by means of many Chips 5/5/202028 nidhi jain
  • 29. CDMA in a DSSS Environment 5/5/202029 nidhi jain
  • 31. 5/5/2020nidhi jain31 OFDM Basic Concept  Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation scheme  First break the data into small portions  Then use a number of parallel orthogonal sub-carriers to transmit the data  Conventional transmission uses a single carrier, which is modulated with all the data to be sent Single Carrier Company Multi Carrier Company
  • 32. 5/5/2020nidhi jain32 OFDM Basic Concept  OFDM is a special case of Frequency Division Multiplexing (FDM)  For FDM  No special relationship between the carrier frequencies  Guard bands have to be inserted to avoid Adjacent Channel Interference (ACI)  For OFDM  Strict relation between carriers: fk = k·Df where Df = 1/TU (TU - symbol period)  Carriers are orthogonal to each other and can be packed tight
  • 33. 5/5/2020nidhi jain33 OFDM – Signal properties Time domain Frequency domain Power Spectrum for OFDM symbol frequency
  • 34. Multiuser Detection  Multiuser detection considers all users as signals for each other -> joint detection  Reduced interference leads to capacity increase  Alleviates the near/far problem  MUD can be implemented in the BS or mobile, or both  In a cellular system, base station (BS) has knowledge of all the chip sequences  Size and weight requirement for BS is not stringent  Therefore MUD is currently being envisioned for the uplink (mobile to BS) 5/5/202034 nidhi jain
  • 35. MUD Algorithms Optimal MLSE Decorrelator MMSE Linear Multistage Decision -feedback Successive interference cancellation Non-linear Suboptimal Multiuser Receivers 5/5/2020 35nidhi jain