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一種新的高速自適應(yīng)濾波的脈動實現(xiàn)結(jié)構(gòu)

尚勇,  吳順君,  項海格

尚勇, 吳順君, 項海格. 一種新的高速自適應(yīng)濾波的脈動實現(xiàn)結(jié)構(gòu)[J]. 電子與信息學報, 2002, 24(8): 1022-1027.
引用本文: 尚勇, 吳順君, 項海格. 一種新的高速自適應(yīng)濾波的脈動實現(xiàn)結(jié)構(gòu)[J]. 電子與信息學報, 2002, 24(8): 1022-1027.
Shang Yong, Wu Shunjun, Xiang Haige. A novel systolic implementation of the high-speed adaptive filter[J]. Journal of Electronics & Information Technology, 2002, 24(8): 1022-1027.
Citation: Shang Yong, Wu Shunjun, Xiang Haige. A novel systolic implementation of the high-speed adaptive filter[J]. Journal of Electronics & Information Technology, 2002, 24(8): 1022-1027.

一種新的高速自適應(yīng)濾波的脈動實現(xiàn)結(jié)構(gòu)

A novel systolic implementation of the high-speed adaptive filter

  • 摘要: LMS算法具有計算簡單,易于實現(xiàn)的特點,被廣泛應(yīng)用于諸如通信和雷達等許多信號處理領(lǐng)域,對其高速實現(xiàn)結(jié)構(gòu)的研究一直是濾波器結(jié)構(gòu)設(shè)計中的一個研究重點和熱點。該文基于并行流水線LMS(PIPLMS)算法,設(shè)計了一種高速自適應(yīng)濾波器脈動結(jié)構(gòu)。該結(jié)構(gòu)既具有脈動結(jié)構(gòu)的高度流水特性,又具有一定的并行性。與已有結(jié)構(gòu)相比,該文設(shè)計的結(jié)構(gòu)具有更高的數(shù)據(jù)吞吐率。同時由于其并行特性,該結(jié)構(gòu)還具有更低的系統(tǒng)功耗,更大的步長因子選擇范圍和更快的收斂速度。
    Abstract: The LMS algorithm is widely used in various signal processing fields such as radar, communication, etc. due to its simplicity. It is a focus in the research on the implementation of the high-speed adaptive filter. Based on the parallel pipelined LMS (PIPLMS) algorithm, a high-speed filter implementation is proposed in this paper. This implementation has both the properties of high pipelining in the systolic structure and parallelism in the parallel structure. At the same time, the implementation presented herein also has the properties of higher throughput rate, lower power consumption, larger step size range maintained convergence behavior and faster convergence speed.
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  • M.D. Meyer, D. P. Agrawall, A high sampling rate delayed LMS filter architecture, IEEE Trans.on Circuits and Systems- Ⅱ, 1993, CAS-II-40(11), 727-729.[2]H. Herzberg, R. H. Cohen, Y. Beery, A systolic array realization of an LMS adaptive filter and the effects of delayed adaptation, IEEE Trans. on Signal Processing, 1992, SP-40(11), 2799 2803.[3]J. Thomas, Pipelined systolic architectures for DLMS adaptive filtering, Journal of VLSI Signal Processing 1996, 12(3), 223-246.[4]S.C. Douglas, Q. Zhu, K. F. Smith, A pipelined LMS adaptive FIR filter architecture without adaptation delay, IEEE Trans. on Signal Processing, 1998, SP-46(3), 775 779.[5]N.R. Shanbhag, M. Goel, Low-power adaptive filter architectures and their application to 51.84 Mb/s ATM-LAN, IEEE Trans. on Signal Processing, 1997, SP-45(5), 1276-1290.[6]Q. Zhu, S. C. Douglas, K. F. Smith, A pipelined architecture for LMS adaptive FIR filter without adaptation delay, ICASSP97, Munich, Germany, 1997, 1933 1936. ［7］K. Matsubara, K. Nishikawa, H. Kiya, A new pipelined architecture of the LMS algorithm without degradation of convergence characteristics, ICASSP97, Munich, Germany, 1997, 4125-4128.[7]K. Matsubara, K. Nishikawa, H. Kiya, Pipelined LMS adaptive filter using a new look-ahead transformation, IEEE Trans. on Circuits and Systems-II, 1999, CAS-Ⅱ-46(1), 51 55.[8]尚勇,劉衛(wèi)東,吳順君,基于并行算法的自適應(yīng)濾波原理及其性能分析,電子學報,2001,29(9),1230-1232[9]尚勇,吳順君,項海格,并行流水線LMS算法及其性能分析,自然科學進展,2001,11(10),1032-1037.[10]N.R. Shanbhag, K. K. Parhi, Relaxed look-ahead pipelined LMS adaptive filters and their application to ADPCM coder, IEEE Trans. on Circuits and Systems-Ⅱ, 1993, CAS-Ⅱ-40(12), 753-766.[11]D.A. Parker, K. K. Parhi, Low-area/power parallel FIR digital filter implementations, Journal of VLSI Signal Processing, 1997, 17(1), 75-92.
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出版歷程
  • 收稿日期:  2000-12-27
  • 修回日期:  2001-04-23
  • 刊出日期:  2002-08-19

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