SlideShare a Scribd company logo
1 of 13
Analyzing Broad-Band Electromagnetics Problems with Commercial Software— Time Domain  vs.  Frequency Domain   Eric Holzman 1 , William Nelson 1 , Brian Swift 1 ,  James Willhite 2  and Shrikrishna Hegde 2 1 Northrop Grumman, Baltimore, MD 21240, USA 2 Sonnet Software, Syracuse, NY 13212, USA
Outline of Our Comparison ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],*Computer Simulation Technology, www.cst.com
Finite Element 3-D EM Software ,[object Object],[object Object],[object Object],[object Object],[object Object]
Theory: Time  vs.  Freq Domain Which requires less CPU time and RAM? (Direct solver only) 1 solution  NxN N solutions  NxN S-parameters Any    ,   incidence Normal incidence Periodic structures No Yes Transient problems 1 solution  1 pt 1 solution  All Frequency response (2  L/  ) 3   (2  L/  ) 3   Number of cells Frequency Time  Feature
Analyze real problems in time & freq ,[object Object],[object Object],[object Object],[object Object],time freq Analyze 4 devices in both solver domains Comparison criteria Use  CST Microwave Studio ™  for all analysis CPU Time RAM
IBM PC platform for all problems Ring Hybrid 1:4 divider Conical antenna Pillbox antenna Freq-domain analysis of pillbox requires a 64-bit CPU 16 3 3 3 3 3 3 3 RAM (GB) 3.0 3.6 3.6 3.6 3.6 3.6 3.6 3.6 Speed (GHz) 64 32 32 32 32 32 32 32 No. of bits Freq Time  Freq Time Freq Time  Freq Time  CPU features
Ground Rules ,[object Object],[object Object],[object Object],[object Object],[object Object]
March’s Ring Hybrid in Stripline ports ports S. March, “A Wideband Stripline Hybrid Ring,”  IEEE Trans. Microwave Theory & Tech , p. 361, June 1968.   Bandwidth: 7-11 GHz return loss isolation insertion loss FD TD
Stripline 1:4 Wilkinson Divider output ports common port Bandwidth: 6-16 GHz Port separation is large isolation Common port return loss insertion loss FD TD
Conical Antenna over Ground Bandwidth: 0.15-1.00 GHz Coax feed Antenna Ground Frequency (GHz) -40 -30 -20 -10 0 0 0.2 0.4 0.6 0.8 1 |S11| (dB) FD TD
Pillbox—a very large antenna E. L. Holzman, “Pillbox Antenna Design for Millimeter-Wave Base Station Applications,”  IEEE Ant. & Prop. Mag. , Vol.  45, #1, pp.27-37, Feb. 2003 .   Reflector surface Waveguide Port Radiating aperture FD TD TD: 23-32 GHz FD: 28-32 GHz ~40 
Time Domain—fastest & least RAM Ring Hybrid 1:4 divider Conical antenna Pillbox antenna 86 1001 20 1001 14 1001 11 1001 # of freqs 1 1 1 1 25 25 16 16 # of S-pars 13 h 3.6 h  17 m 0.5 m 86 m 26 m 10 m 0.9 m CPU Time 6.4 0.68 0.59 0.020 1.38 0.192 0.26 0.011 RAM (GB) Freq Time  Freq Time Freq Time  Freq Time  Parameter
Summary--TD advantage over FD  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Holzman  (eholzman@ieee.org)

More Related Content

What's hot

IGARSS_DESDynI_2011.pptx
IGARSS_DESDynI_2011.pptxIGARSS_DESDynI_2011.pptx
IGARSS_DESDynI_2011.pptx
grssieee
 
MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...
MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...
MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...
grssieee
 
MO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATION
MO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATIONMO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATION
MO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATION
grssieee
 
DPCA_SAR Imaging Based on CS.ppt
DPCA_SAR Imaging Based on CS.pptDPCA_SAR Imaging Based on CS.ppt
DPCA_SAR Imaging Based on CS.ppt
grssieee
 
4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt
grssieee
 

What's hot (20)

A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMS
A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMSA SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMS
A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMS
 
Tdm fdm
Tdm fdmTdm fdm
Tdm fdm
 
Rf2008 test 1
Rf2008 test 1Rf2008 test 1
Rf2008 test 1
 
IGARSS_DESDynI_2011.pptx
IGARSS_DESDynI_2011.pptxIGARSS_DESDynI_2011.pptx
IGARSS_DESDynI_2011.pptx
 
Understanding large scale neural recordings ground truth data sets and the t-...
Understanding large scale neural recordings ground truth data sets and the t-...Understanding large scale neural recordings ground truth data sets and the t-...
Understanding large scale neural recordings ground truth data sets and the t-...
 
MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...
MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...
MO3.L09 - THEORETICAL AND PRACTICAL DESIGN CONSIDERATIONS FOR A SMALL, MULTI-...
 
SPIE2014-Chirp
SPIE2014-ChirpSPIE2014-Chirp
SPIE2014-Chirp
 
MO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATION
MO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATIONMO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATION
MO4.L09 - DIGITAL BEAMFORMING SAR (DBSAR) FOR BIOMASS ESTIMATION
 
디지털통신 7
디지털통신 7디지털통신 7
디지털통신 7
 
Part 3 v2
Part 3 v2Part 3 v2
Part 3 v2
 
Siemens bss 66
Siemens bss 66Siemens bss 66
Siemens bss 66
 
DWS vs CST CABLE STUDIO SIMULATION SPEEDUP
DWS vs CST CABLE STUDIO SIMULATION SPEEDUPDWS vs CST CABLE STUDIO SIMULATION SPEEDUP
DWS vs CST CABLE STUDIO SIMULATION SPEEDUP
 
DPCA_SAR Imaging Based on CS.ppt
DPCA_SAR Imaging Based on CS.pptDPCA_SAR Imaging Based on CS.ppt
DPCA_SAR Imaging Based on CS.ppt
 
Albert huizing -_tno
Albert huizing -_tnoAlbert huizing -_tno
Albert huizing -_tno
 
Sampling Theorem, Quantization Noise and its types, PCM, Channel Capacity, Ny...
Sampling Theorem, Quantization Noise and its types, PCM, Channel Capacity, Ny...Sampling Theorem, Quantization Noise and its types, PCM, Channel Capacity, Ny...
Sampling Theorem, Quantization Noise and its types, PCM, Channel Capacity, Ny...
 
4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt
 
디지털통신 8
디지털통신 8디지털통신 8
디지털통신 8
 
Seismic geometric corrections
Seismic geometric correctionsSeismic geometric corrections
Seismic geometric corrections
 
DSP preliminaries
DSP preliminariesDSP preliminaries
DSP preliminaries
 
Doppler Estimation Method of Using Frequency Channel Response for OFDM System...
Doppler Estimation Method of Using Frequency Channel Response for OFDM System...Doppler Estimation Method of Using Frequency Channel Response for OFDM System...
Doppler Estimation Method of Using Frequency Channel Response for OFDM System...
 

Viewers also liked

110232799-Final Year Thesis
110232799-Final Year Thesis110232799-Final Year Thesis
110232799-Final Year Thesis
Bhavishya Sehgal
 
Design and Implementation of Log-Periodic Antenna
Design and Implementation of Log-Periodic AntennaDesign and Implementation of Log-Periodic Antenna
Design and Implementation of Log-Periodic Antenna
Shruti Nadkarni
 
ECE 24 Final Report 052209
ECE 24 Final Report 052209ECE 24 Final Report 052209
ECE 24 Final Report 052209
crh342
 

Viewers also liked (20)

UNCC_WIFI_Poster
UNCC_WIFI_PosterUNCC_WIFI_Poster
UNCC_WIFI_Poster
 
Phase combining of high power amplifier
Phase combining of high power amplifier Phase combining of high power amplifier
Phase combining of high power amplifier
 
Slides ma sc defense final
Slides ma sc defense   finalSlides ma sc defense   final
Slides ma sc defense final
 
110232799-Final Year Thesis
110232799-Final Year Thesis110232799-Final Year Thesis
110232799-Final Year Thesis
 
Design and Implementation of Log-Periodic Antenna
Design and Implementation of Log-Periodic AntennaDesign and Implementation of Log-Periodic Antenna
Design and Implementation of Log-Periodic Antenna
 
Project presentation
Project presentationProject presentation
Project presentation
 
Thesis_Furlan
Thesis_FurlanThesis_Furlan
Thesis_Furlan
 
Impedance Matching
Impedance MatchingImpedance Matching
Impedance Matching
 
Ferrite phase shifter
Ferrite phase shifterFerrite phase shifter
Ferrite phase shifter
 
Final tssa design and realization of passive phase shifters
Final tssa design and realization of passive phase shiftersFinal tssa design and realization of passive phase shifters
Final tssa design and realization of passive phase shifters
 
Design of band notched antenna for ultra wide band applications
Design of band notched antenna for ultra wide band applicationsDesign of band notched antenna for ultra wide band applications
Design of band notched antenna for ultra wide band applications
 
ECE 24 Final Report 052209
ECE 24 Final Report 052209ECE 24 Final Report 052209
ECE 24 Final Report 052209
 
Array antenna and LMS algorithm
Array antenna and LMS algorithmArray antenna and LMS algorithm
Array antenna and LMS algorithm
 
RF MEMS Steerable Antennas for Automotive Radar and Future Wireless Applicati...
RF MEMS Steerable Antennas for Automotive Radar and Future Wireless Applicati...RF MEMS Steerable Antennas for Automotive Radar and Future Wireless Applicati...
RF MEMS Steerable Antennas for Automotive Radar and Future Wireless Applicati...
 
Radar 2009 a 9 antennas 2
Radar 2009 a 9 antennas 2Radar 2009 a 9 antennas 2
Radar 2009 a 9 antennas 2
 
phase shifter
phase shifterphase shifter
phase shifter
 
Conical horn antenna with parabolic reflector using cst
Conical horn antenna with parabolic reflector using cstConical horn antenna with parabolic reflector using cst
Conical horn antenna with parabolic reflector using cst
 
Phased array antenna
Phased array antennaPhased array antenna
Phased array antenna
 
DESIGN OF RECTANGULAR PATCH ANTEENA USING METAMATERIAL SUBSTRATE
    DESIGN OF RECTANGULAR PATCH ANTEENA USING METAMATERIAL SUBSTRATE    DESIGN OF RECTANGULAR PATCH ANTEENA USING METAMATERIAL SUBSTRATE
DESIGN OF RECTANGULAR PATCH ANTEENA USING METAMATERIAL SUBSTRATE
 
array and phased array antennna
array and phased array antennnaarray and phased array antennna
array and phased array antennna
 

Similar to Mtt 08 Poster Holzman 3 14 08

Valladolid final-septiembre-2010
Valladolid final-septiembre-2010Valladolid final-septiembre-2010
Valladolid final-septiembre-2010
TELECOM I+D
 
Updated! Debugging EMI Problems Using a Digital Oscilloscope
Updated! Debugging EMI Problems Using a Digital OscilloscopeUpdated! Debugging EMI Problems Using a Digital Oscilloscope
Updated! Debugging EMI Problems Using a Digital Oscilloscope
Rohde & Schwarz North America
 
1999 si pi_dws_training_course
1999 si pi_dws_training_course1999 si pi_dws_training_course
1999 si pi_dws_training_course
Piero Belforte
 
RM03D-3_DCOBISC_06_07_09_Final
RM03D-3_DCOBISC_06_07_09_FinalRM03D-3_DCOBISC_06_07_09_Final
RM03D-3_DCOBISC_06_07_09_Final
imranbashir
 
FYP 4th presentation
FYP 4th presentationFYP 4th presentation
FYP 4th presentation
Haroon Ahmed
 

Similar to Mtt 08 Poster Holzman 3 14 08 (20)

Semiconductor overview
Semiconductor overviewSemiconductor overview
Semiconductor overview
 
Valladolid final-septiembre-2010
Valladolid final-septiembre-2010Valladolid final-septiembre-2010
Valladolid final-septiembre-2010
 
Radar 2009 a 3 review of signals systems and dsp
Radar 2009 a  3 review of signals systems and dspRadar 2009 a  3 review of signals systems and dsp
Radar 2009 a 3 review of signals systems and dsp
 
Radar 2009 a 3 review of signals, systems, and dsp
Radar 2009 a  3 review of signals, systems, and dspRadar 2009 a  3 review of signals, systems, and dsp
Radar 2009 a 3 review of signals, systems, and dsp
 
Radar 2009 a 3 review of signals, systems, and dsp
Radar 2009 a  3 review of signals, systems, and dspRadar 2009 a  3 review of signals, systems, and dsp
Radar 2009 a 3 review of signals, systems, and dsp
 
Updated! Debugging EMI Problems Using a Digital Oscilloscope
Updated! Debugging EMI Problems Using a Digital OscilloscopeUpdated! Debugging EMI Problems Using a Digital Oscilloscope
Updated! Debugging EMI Problems Using a Digital Oscilloscope
 
Dsss final
Dsss finalDsss final
Dsss final
 
L4 multiplexing & multiple access 16
L4 multiplexing & multiple access 16L4 multiplexing & multiple access 16
L4 multiplexing & multiple access 16
 
UHF/VHFEnergy Harvesting Radio System Physical and MAC Layer Consideration
UHF/VHFEnergy Harvesting Radio System Physical and MAC Layer ConsiderationUHF/VHFEnergy Harvesting Radio System Physical and MAC Layer Consideration
UHF/VHFEnergy Harvesting Radio System Physical and MAC Layer Consideration
 
Code Division Multiple Access.pptx
Code Division Multiple Access.pptxCode Division Multiple Access.pptx
Code Division Multiple Access.pptx
 
UCF Wireless SAW Sensor Systems
UCF Wireless SAW Sensor SystemsUCF Wireless SAW Sensor Systems
UCF Wireless SAW Sensor Systems
 
Course-Notes__Advanced-DSP.pdf
Course-Notes__Advanced-DSP.pdfCourse-Notes__Advanced-DSP.pdf
Course-Notes__Advanced-DSP.pdf
 
Advanced_DSP_J_G_Proakis.pdf
Advanced_DSP_J_G_Proakis.pdfAdvanced_DSP_J_G_Proakis.pdf
Advanced_DSP_J_G_Proakis.pdf
 
1999 si pi_dws_training_course
1999 si pi_dws_training_course1999 si pi_dws_training_course
1999 si pi_dws_training_course
 
RM03D-3_DCOBISC_06_07_09_Final
RM03D-3_DCOBISC_06_07_09_FinalRM03D-3_DCOBISC_06_07_09_Final
RM03D-3_DCOBISC_06_07_09_Final
 
Design and Simulation Microstrip patch Antenna using CST Microwave Studio
Design and Simulation Microstrip patch Antenna  using CST Microwave StudioDesign and Simulation Microstrip patch Antenna  using CST Microwave Studio
Design and Simulation Microstrip patch Antenna using CST Microwave Studio
 
Thesis
ThesisThesis
Thesis
 
Thesis
ThesisThesis
Thesis
 
IMT Advanced
IMT AdvancedIMT Advanced
IMT Advanced
 
FYP 4th presentation
FYP 4th presentationFYP 4th presentation
FYP 4th presentation
 

More from eholzman

More from eholzman (6)

Diabetes Management Lecture 8
Diabetes Management Lecture 8Diabetes Management Lecture 8
Diabetes Management Lecture 8
 
Diabetes Management Lecture 1
Diabetes Management Lecture 1Diabetes Management Lecture 1
Diabetes Management Lecture 1
 
Diabetes Management Lecture 2
Diabetes Management Lecture 2Diabetes Management Lecture 2
Diabetes Management Lecture 2
 
Diabetes Management Lecture 3
Diabetes Management Lecture 3Diabetes Management Lecture 3
Diabetes Management Lecture 3
 
Diabetes Management Lecture 4
Diabetes Management Lecture 4Diabetes Management Lecture 4
Diabetes Management Lecture 4
 
Who Is Eric Holzman Short
Who Is Eric Holzman ShortWho Is Eric Holzman Short
Who Is Eric Holzman Short
 

Recently uploaded

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Recently uploaded (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 

Mtt 08 Poster Holzman 3 14 08

  • 1. Analyzing Broad-Band Electromagnetics Problems with Commercial Software— Time Domain vs. Frequency Domain Eric Holzman 1 , William Nelson 1 , Brian Swift 1 , James Willhite 2 and Shrikrishna Hegde 2 1 Northrop Grumman, Baltimore, MD 21240, USA 2 Sonnet Software, Syracuse, NY 13212, USA
  • 2.
  • 3.
  • 4. Theory: Time vs. Freq Domain Which requires less CPU time and RAM? (Direct solver only) 1 solution  NxN N solutions  NxN S-parameters Any  ,  incidence Normal incidence Periodic structures No Yes Transient problems 1 solution  1 pt 1 solution  All Frequency response (2  L/  ) 3 (2  L/  ) 3 Number of cells Frequency Time Feature
  • 5.
  • 6. IBM PC platform for all problems Ring Hybrid 1:4 divider Conical antenna Pillbox antenna Freq-domain analysis of pillbox requires a 64-bit CPU 16 3 3 3 3 3 3 3 RAM (GB) 3.0 3.6 3.6 3.6 3.6 3.6 3.6 3.6 Speed (GHz) 64 32 32 32 32 32 32 32 No. of bits Freq Time Freq Time Freq Time Freq Time CPU features
  • 7.
  • 8. March’s Ring Hybrid in Stripline ports ports S. March, “A Wideband Stripline Hybrid Ring,” IEEE Trans. Microwave Theory & Tech , p. 361, June 1968. Bandwidth: 7-11 GHz return loss isolation insertion loss FD TD
  • 9. Stripline 1:4 Wilkinson Divider output ports common port Bandwidth: 6-16 GHz Port separation is large isolation Common port return loss insertion loss FD TD
  • 10. Conical Antenna over Ground Bandwidth: 0.15-1.00 GHz Coax feed Antenna Ground Frequency (GHz) -40 -30 -20 -10 0 0 0.2 0.4 0.6 0.8 1 |S11| (dB) FD TD
  • 11. Pillbox—a very large antenna E. L. Holzman, “Pillbox Antenna Design for Millimeter-Wave Base Station Applications,” IEEE Ant. & Prop. Mag. , Vol. 45, #1, pp.27-37, Feb. 2003 . Reflector surface Waveguide Port Radiating aperture FD TD TD: 23-32 GHz FD: 28-32 GHz ~40 
  • 12. Time Domain—fastest & least RAM Ring Hybrid 1:4 divider Conical antenna Pillbox antenna 86 1001 20 1001 14 1001 11 1001 # of freqs 1 1 1 1 25 25 16 16 # of S-pars 13 h 3.6 h 17 m 0.5 m 86 m 26 m 10 m 0.9 m CPU Time 6.4 0.68 0.59 0.020 1.38 0.192 0.26 0.011 RAM (GB) Freq Time Freq Time Freq Time Freq Time Parameter
  • 13.