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一種適用于水聲信道的雙模式盲均衡算法

張艷萍,  趙俊渭,  李金明

張艷萍, 趙俊渭, 李金明. 一種適用于水聲信道的雙模式盲均衡算法[J]. 電子與信息學(xué)報, 2005, 27(10): 1535-1538.
引用本文: 張艷萍, 趙俊渭, 李金明. 一種適用于水聲信道的雙模式盲均衡算法[J]. 電子與信息學(xué)報, 2005, 27(10): 1535-1538.
Zhang Yan-ping, Zhao Jun-wei, Li Jin-ming. A Dual-Mode Blind Equalization Algorithm for Underwater Acoustic Channel[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1535-1538.
Citation: Zhang Yan-ping, Zhao Jun-wei, Li Jin-ming. A Dual-Mode Blind Equalization Algorithm for Underwater Acoustic Channel[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1535-1538.

一種適用于水聲信道的雙模式盲均衡算法

A Dual-Mode Blind Equalization Algorithm for Underwater Acoustic Channel

  • 摘要: 針對常數(shù)模算法(CMA)和符號回歸常數(shù)模算法(SR-CMA)存在的問題，提出了一種基于分數(shù)間隔的雙模式常數(shù)模(DCMA)盲均衡算法。該算法將常規(guī)CMA算法和SR-CMA算法相結(jié)合，通過判決圓環(huán)完成兩種算法之間的切換，根據(jù)信噪比確定判決圓環(huán)的邊界。仿真結(jié)果表明，DCMA 的計算效率高于CMA，算法穩(wěn)定性優(yōu)于SR- CMA，而且可以獲得較低的剩余均方誤差。
    Abstract: A kind of Dual-mode Constant Modulus Algorithm(DCMA) based on fractionally-spaced equalization for blind equalization is presented to compensate the defects of the Constant Modulus Algorithm(CMA) and the Signed-Regressor CMA(SR-CMA). DCMA combines the conventional CMA and SR-CMA, and the switch process between CMA and SR-CMA is realized by decision circle ring which boundary is decided by the signal-to-noise radio. Computer simulation proves that DCMA is more robust than SR-CMA and more computationally efficient than CMA, and its residual mean-square error is lower than that of CMA and SR-CMA.
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  • Luo Z Q T, Mei Meng,Wong K M, Jian-Kang Zhang.A fract- ionally spaced blind equalizer based on linear programming[J].IEEE Trans. on Signal Processing.2002, 50(7):1650-1660[2]Endres T J．Equalizing with fractionally-spaced constant modulus and second order statistics blind receivers．[Ph.D. Dissertation], Ithaca, NY, Cornell University, 1997.[3]Sau-Gee Chen,Yung-An Kao, Kwung-Yee Tsai．A new efficient LMS adaptive filtering algorithm．Proceedings of TENCON '94. IEEE Region 10's Ninth Annual International Conference. Theme: Frontiers of Computer Technology. Aug. 1994,Vol. 2: 22 26, 644-648.[4]Koike S．Analysis of adaptive filters using normalized signed regressor LMS algorithm．IEEE Trans. on Signal Processing [see also IEEE Trans. on Acoustics, Speech, and Signal Processing] , 1999, 47(10): 2710-2723.[5]Costa M H, Bermudez J C M. A fully analytical recursive stochastic model to the normalized signed regressor LMS algorithm. 2003. Proceedings. Seventh International Symposium on Signal Processing and Its Applications, Volume: 2, July 14, 2003: 587-590.[6]王峰,趙俊渭,李桂娟等.一種常數(shù)模與判決導(dǎo)引相結(jié)合的盲均衡算法研究.通信學(xué)報,2002, 23(6):105-109.[7]Adam Zielinskj, Young-Hoon, Lixue Wu. Performance analysis of digital acoustic communication in a shallow water channel[J].IEEE of Oceanic Engineering.1995, 20(4):293-298[8]Johnson Jr C R. Schniter, P. Endres, J T, et al.. Blind equalization using the constant modulus criterion: a review.Proc. IEEE, 1998, 86(10): 1927-1949.
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出版歷程
  • 收稿日期:  2004-05-19
  • 修回日期:  2004-09-24
  • 刊出日期:  2005-10-19

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