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Stop and Go判決引導(dǎo)算法中的選擇及其動量算法

徐金標(biāo),  王育民

徐金標(biāo), 王育民. Stop and Go判決引導(dǎo)算法中的選擇及其動量算法[J]. 電子與信息學(xué)報(bào), 1998, 20(3): 321-329.
引用本文: 徐金標(biāo), 王育民. Stop and Go判決引導(dǎo)算法中的選擇及其動量算法[J]. 電子與信息學(xué)報(bào), 1998, 20(3): 321-329.
Xu Jinbiao, Wang Yumin. SELECTING IN STOP AND GO DECISION-DIRECTED ALGORITHM AND ITS MOMENTUM ALGORITHM[J]. Journal of Electronics & Information Technology, 1998, 20(3): 321-329.
Citation: Xu Jinbiao, Wang Yumin. SELECTING IN STOP AND GO DECISION-DIRECTED ALGORITHM AND ITS MOMENTUM ALGORITHM[J]. Journal of Electronics & Information Technology, 1998, 20(3): 321-329.

Stop and Go判決引導(dǎo)算法中的選擇及其動量算法

SELECTING IN STOP AND GO DECISION-DIRECTED ALGORITHM AND ITS MOMENTUM ALGORITHM

  • 摘要: 本文在分析stop and go判決引導(dǎo)算法的基礎(chǔ)上,提出了一種選取的方法。該方法保證對不同的信號和信道stop and go判決引導(dǎo)(DD)算法都能快速收斂。為了提高stop and goDD算法的收斂速度,提出了一種自適應(yīng)動量stop and goDD算法。該算法比stop and go算法的收斂速度更快。
    Abstract: Based on analysis of the stop and go decision-directed (DD) algorithm, a method of selecting (3 is proposed, which guarantees the quick convergent characteristic of the stop and go DD algorithm. In order to improve the convergent speed of stop and go DD algorithm, the momentum stop and go DD algorithm is proposed and then based on this, an adaptive momentum stop and go DD algorithm is also proposed. Computer simulations show that the proposed techniques are very effective for the stop and go DD algorithm.
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  • Sato Y. A method of self-recovering equalization for multilevel amplitude-modulation systems.[2]IEEE Trans. on COM, 1975, 23(6): 679-682.[3]Godard D. Self-recovering equalization and carrier tracking in two dimensional data communication system[J].IEEE Trans. on COM.1980, 28(11):1867-1875[4]Benveniste A, Goursat M, Ruget G. Robust identification of a non-minimum phase system: Blind adjustment of a linear equalizer in data communication. IEEE Trans. on AC, 1980, 25(3): 385-399.[5]Beilini S. Bussgang techniques for blind equalization. in GLOBECOM86, Houston: 1986, 1634-1640.[6]Picchi G, Prati G. Blind equalization and carrier recovering using a stop-and-go decision-directed algorithm[J].IEEE Trans. on COM.1987, 35(9):877-887[7]Shalvi O, Weinstein E. New criteria for blind deconvolution of nonminimum phase systems (channels)[J].IEEE Trans. on IT.1990, 36(2):312-321[8]Jablon N K. Joint blind equalization, carrier recovery, and timing recovery for high-order QAM signal constellations[J].IEEE Trans. on SP.1992, 40(6):1383-1398[9]Hatzinakos D, Nikias C L. Blind equalization on using a tricepstrum based algorithm[J].IEEE Trans. on COM.1991, 39(5):669-682[10]Porat B, Friedlander B. Blind equalization of digital communication channels using high-order moments. IEEE Trans. on ASSP, 1991, 39(2): 522-526.[11]Seshadri N. Joint data and channel estimation using blind trellis search techniques[J].IEEE Trans. on COM.1994, 42(2/3/4):1000-1011[12]Iltis R A, Shynk J J, Giridhar K. Bayesian algorithms for blind equalization using parallel adaptive filtering[J].IEEE Trans. on COM.1994, 42(2/3/4):1017-1031[13]Ross F J, Taylor D P. An enhancement to blind equalization algorithms[J].IEEE Tans. on COM.1991, 39(5):636-639[14]Wesolowski K. Adaptive blind equalizers with automatically controlled parameters[J].IEEE Trans. on COM.1995, 43(2):170-172[15]Yatsuboshi R, et al. A convergence of automatic equalizer by maximum level error control. National Convention Record, IEIC of Japan, 1974(2192).[16]徐金標(biāo),王育民.用于MQAM調(diào)制的新型的自恢復(fù)均衡技術(shù)的研究.電子學(xué)報(bào),1997, 25(7): 39-44.[17]Roy R, Shynk J J. Analysis of the momentum LMS algorithm[J].IEEE Trans. on ASSP.1990, 38(12):2088-2098
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出版歷程
  • 收稿日期:  1996-06-11
  • 修回日期:  1997-08-01
  • 刊出日期:  1998-05-19

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