1 / 48

Decimation Filtering For Complex Sigma Delta Analog to Digital Conversion in A Low-IF Receiver

Decimation Filtering For Complex Sigma Delta Analog to Digital Conversion in A Low-IF Receiver. Anjana Ghosh SERC, Indian Institute of Science Bangalore February 2006. Presentation Outline. Fundamentals of Receiver Operation Salient features of  ADC

traci
Download Presentation

Decimation Filtering For Complex Sigma Delta Analog to Digital Conversion in A Low-IF Receiver

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Decimation Filtering For Complex Sigma Delta Analog to Digital Conversion in A Low-IF Receiver Anjana Ghosh SERC, Indian Institute of Science Bangalore February 2006

  2. Presentation Outline • Fundamentals of Receiver Operation • Salient features of  ADC • Decimation Filtering for Low Pass  ADC • Existing literature on decimation for bandpass  modulators • Proposed architecture

  3. Receiver Architectures: A Heterodyne Receiver if

  4. Low IF Receiver Frequency Downconversion Digital Filtering, Baseband Downconversion , Demodulation A cosct X RF Stage Analog to Digital Conversion B sinct Y Receiver Block Diagram

  5. ADC Sample rate : Effect on Analog Antialias Filter (AAF)

  6. ADC Quantization Noise

  7. Decimation Digital Filter for  ADC • Purpose of decimation filters : Antialias filtering followed by sample rate reduction • Multistage Decimation preferred to single stage • Popular structure consists of a Cascaded Integrator comb followed by one or two FIR stages

  8. CIC Filter • Moving Average Filter • Z transform

  9. Order of the CIC Filter For A Low Pass ADC • For a  modulator of order l, a CIC of order l+1 is suitable for antialias filtering in the first stage of decimation • This CIC can be used to reduce the sample rate to as low as 4 times the Nyquist sampling rate with negligible SNR degradation (<0.25dB). Further reduction in the sample rate using the CIC will degrade the SNR significantly.

  10. CIC Structure (Second Order)

  11. Efficient Polyphase Decomposition of Comb Filter

  12. Modified SINC

  13. Noise Transfer Function(NTF) and Signal Transfer Function(STF)

  14. Complex Downconversion & Decimation

  15. Decimation structure for Band pass & Complex S D modulator Bandpass S D Complex S D Existing Art : Downconversion of IF signal to Baseband followed by Standard Low Pass Decimation Digital Filter

  16. New Decimation Filter Architecture : Motivation • Accepted approach imposes restrictions on the choice of  in order to take advantage of the optimization in the mixing process • Compatability with the existing GPS engine

  17. New Architecture : Block Diagram A X cosct Anti alias Filter and Complex Bandpass Modulator Digital Decimation Filters RF Stage Digital Baseband sinct B Y

  18. Low IF Receiver : Signal Spectrum A cosct RF Stage sinct B desired signal image signal band RF  - c - if c + if c -c -if -c -c + if 0 1/2 C (cosct) -  c -c 0 j/2 S (sinct) c  - -c 0 -j/2 1/2 A=IP*C  - if -if 0 j/2 B=IP*S  - if 0 -if -j/2 1 IF  - if -if 0

  19. Use of Complex Digital Filters A X Anti alias Filter and Complex Sigma Delta Modulator P DF1 (Complex Digital Filter) cosct RF Stage j OP sinct -j Y DF2 (Complex Digital Filter) Q desired signal image signal band IP -  c -c -if -c c - if -c + if c + if 0 1/2 A=IP*cosct -  if -if 0 B=IP*Sinct j/2 -  if -if 0 -j/2 Noise Transfer Function DF1 Transfer Function X=A* Y=B* P=X+jY  - 0 if -if DF2 Transfer Function Noise Transfer Function Q=X-jY  - if -if 0 OP 1  - if -if 0

  20. Complex Digital Filters : Real Filters From Complex Filters DF1 Transfer Function • HDF1(z)= HRE(z) - j.HIM(z) ; • HDF2(z)= HRE(z) + j.HIM(z) ; • OP = P(z).HDF1(z) + Q(z).HDF2(z) ; =>OP = [X(z) +j.Y(z)].[HRE(z) - j.HIM(z)] + [X(z)-j.Y(z)].[HRE(z) + j.HIM(z)] => OP= 2.[X(z). HRE(z) + Y(z). HIM(z)] -  if -if 0 DF2 Transfer Function  - if -if 0 Thus the Complex Digital Filtering can be accomplished by using two real filters corresponding to the real and imaginary parts of the transfer function of the individual complex filters.

  21. Complex Digital Filters: Implementation A HRE(z) cosct C Antialias Filter and Complex Sigma Delta Modulator X RF Amp and Filter real IP OP imaginary 90o Y sinct S B HIM(z) Real Filter Implementation of Digital Filtering, at Low IF. Advantage: Number of Computations reduced from eight to two

  22. Decimation Filter : Requirements • antialias filtering and reduction of the sample rate by 16 • attenuation of remaining out of band components in the signal • generation of a real two sided signal centered around ±wif

  23. Multistage Decimation Filter Structure

  24. ADC Output FFT

  25. AAF1: Fourth Order Comb Passband (3-5MHz) droop = 0.33dB Stopband Attenuation : 83.1dB Aliasing Bands: 59MHz to 69MHz, 123MHz to 128MHz on either side

  26. AAF2: 11 Tap HalfBand Passband (3-5MHz) Ripple = 0.0027dB/-0.0054dB Stopband Attenuation : 75.8 dB Aliasing Bands: 27MHz to 32MHz on either side

  27. Image Reject Filter Passband (3-5MHz) Ripple = 0.0027dB/-0.0054dB Stopband Attenuation : 75.8 dB Aliasing Bands: 27MHz to 32MHz on either side

  28. Image Reject Filter : Stopband

  29. Image Reject Filter : Ripple, Phase Response Passband Droop = 0.94dB Phase Response

  30. Droop Correction filter

  31. Net Transfer Function

  32. 256 M samples/s 11 tap Half Band 13 tap Image Reject 4rth order Comb 2 4 2 Sigma Delta Modulator I 49 tap FIR O/P 11 tap Half Band 13 tap Image Reject 4rth order Comb Q 4 2 2 Decimation Filter Structure

  33. FFT of Silicon Data For A Single Tone Input

  34. 256 M samples/s 11 tap Half Band 13 tap Image Reject 4rth order Comb 2 4 2 Sigma Delta Modulator I 49 tap FIR O/P 11 tap Half Band 13 tap Image Reject 4rth order Comb Q 4 2 2 Optimized Architecture : Scope Low Pass Low Pass Complex Band Pass Band Pass Scope for optimization :Complex Bandpass?

  35. Alternate Architecture : Block Diagram

  36. Alternate Architecture I:Decimate By 16

  37. Shifted 4th Order Comb : Stage 1 • 13 tap , 15 bit coefficient quantization ; performs decimation by 4 • Passband = 3MHz to 5 MHz • Aliasing bands = 67MHz to 69MHz, -59MHz to -61 MHz, -123MHz to -125MHz

  38. Shifted 4th Order Comb :Stage 2 • 5tap , 11 bit coefficient quantization;performs decimation by 2 • Passband = 3MHz to 5 MHz • Aliasing bands = 35MHz to 37MHz, -27MHz to -29 MHz

  39. Shifted 4th Order Comb :Stage 3 • 5 tap, 11 bit coefficient quantization; Performs decimation by 2 • Passband = 3MHz to 5 MHz • Aliasing bands = 19MHz to 21MHz, -11MHz to -13 MHz

  40. Image Reject Filter • 5 tap, 15 bit coefficient quantization • Passband = 3MHz to 5 MHz • Aliasing bands = 19MHz to 21MHz, -11MHz to -13 MHz

  41. Optimized Architecture Multiplier less polyphase implementation CSD coded; multiplier less polyphase implementation

  42. Comparison of Transfer Function : Original Architecture and Architecture I

  43. Comparison of Transfer Function : Original Architecture and Architecture I Comparison of Image Rejection Comparison of Passband Ripple

  44. Optimized Architecture II Shifted COMB Low Pass COMB

  45. Decimation Filter Stages in Architecture II

  46. Comparison of the Three Architectures

  47. Summary • Architecture and design of decimation digital filtering of the output of a complex ∆ modulator for low IF receivers is proposed. • Two optimized implementations with variations of the same basic architecture are proposed

  48. Reference • REFERENCES • James C Candy and Gabor C Temes, ”Oversampling Methods for A/D and D/A Conversion”, • Eugene B Hogenauer, “An Economical Class of Digital Filters for Decimation and Interpolation”, IEEE Transactions on Acoustics,Speech And Signal Processing, Vol ASSP 29,No 2, April 1981 • Brian Paul Brandt, “Oversampled Analog to Digital Conversion”, Doctoral Thesis, Stanford University, Electrical Engineering Department, Stanford, California, October 1991 • Letizia Lo Presti,” Efficient Modified-Sinc Filters For Sigma Delta A/D Converters”,IEEE Transaction on Circuits and Systems-II:Analog and Digital Signal Processing,Vol 47,No 11,November 2000 • Richard Schreier and W Martin Snelgrove,”Decimation For Bandpass Sigma Delta Analog to Digital Conversion”, IEEE International Symposium on Circuits and Systems,1990, 1-3 May, Pages 1801-1804 Vol 3 • Stephen Andrew Jantzi, “Quadrature Bandpass Delta Sigma Modulation for Digital Radio”, PhD Thesis, Dept of Electrical and Computer Engineering,University of Toronto • Ashok Swaminathan,”A Single-IF Receiver Architecture Using a Complex Sigma-Delta Modulator”, ME thesis, Dept of Electronics, Ottawa-Carleton Institute for Electrical Engineering, Carleton University,Ottawa,Canada • Stephen A Jantzi, Kenneth W Martin, Adel S Sedra, “Quadrature Bandpass DS Modulation For Digital Radio”, IEEE Journal Of Solid State Circuits, Vol 32,No 12, December 1997 • Asad A Abidi, “Direct Conversion Radio Transceivers For Digital Communications”, IEEE Journal Of Solid State Circuits, Vol 30,No12,December 1995 • Jan Crols, Michiel S J Steyaert, ”Low-IF Topologies For High Performance Analog Front Ends of Fully Integrated Receivers”, IEEE Transactions on Circuits And Systems-II: Analog And Digital Signal Processing, Vol 45,No3,March1998 • Hong-Kui Yang, W Martin Snelgrove, “High Speed Polyphase CIC Decimation Filters”, IEEE International Symposium on Circuits and Systems, 1996 • Yonghong Gao, Lihong Jia, Hannu Tenhunen, “A Partial-Polyphase VLSI Architecture For Very High Speed CIC Decimation Filters”, Twelfth Annual IEEE International ASIC/SOC Conference, 1999 • Hassan Aboushady,Yannick Dumonteix, Marie Minverte Louėrat, Habib Mehrez, “Efficient Polyphase Decomposition of Comb Decimation Filters in  Analog to Digital Converters “,IEEE Transactions on Circuits And Systems-II: Analog And Digital Signal Processing, Vol 48,No10,October 2001 • Youngbeom Jang, Sejung Yang, ”NonRecursive Cascaded Integrator Comb Decimation Filters With Integer Multiple Factors”, 44th IEEE Midwest Symposium on Circuits and Systems, Volume: 1 , 14-17 Aug. 2001 • Yonghong Gao, Lihong Jia, Hannu Tenhunen, ”A Fifth Order Comb Decimation Filter For Multi-standard Transceiver Applications”, IEEE International Symposium on Circuits and Systems, May 28-31,2000,Geneva , Switzerland • Brian A White, Mohamed I Elmasry, “Low Power Design of Decimation Filters For A Digital IF Receiver”, IEEE Transactions On Very Large Scale Integration (VLSI) Systems, Vol 8,No3, June 2000 • Yonghong Gao, Lihong Jia, Hannu Tenhunen, ”An Improved Architecture and Implementation of Cascaded Integrator Comb Decimation Filters”,IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 1999 • Farbod Behbahani,Yoji Kishigami, John Leete, Asad A Abidi,”CMOS Mixers And Polyphase Filters For Large Image Rejection”, IEEE Journal of Solid State Circuits, Vol 36. No 6, June 2001 • James F Kaiser, Richard W Hamming, “Sharpening the Response of A Symmetric Nonrecursive Filter by Multiple Use of the Same Filter”, IEEE Transactions on Acoustics, Speech, And Signal Processing, Vol ASSP 25, No 5, October 1977 • Matthias Henker, Tim Hentschel, Gerhard Fettweis, “Time Variant CIC Filters For Sample Rate Conversion With Arbitrary Rational Factors”, The 6th IEEE International Conference on Electronics, Circuits and Systems, Volume: 1 , 5-8 Sept. 1999 • Ken Martin, “ Complex Signal Processing is Not Complex”, Conference on European Solid-State Circuits, 2003, 16-18 Sept • James C Candy, “Decimation for Sigma Delta Modulation”, IEEE Transactions On Communications, Volume COM 34,No1,January 1986 • Alan V Oppenheim , Ronald W Schafer, ”Discrete Time Signal Processing”, Prentice Hall Signal Processing Series • Ghosh Anjana, BG Chandrashekar , Venkatraman Srinivasan and Nandy S K, “Decimation For Complex Sigma Delta Analog to Digital Conversion In A Low-IF GPS Receiver”,10th International Symposium On Integrated Circuits, Devices & Systems”, September 2004

More Related