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一種用于水聲信道的稀疏權(quán)超指數(shù)迭代盲均衡算法研究

孫麗君,  孫超

孫麗君, 孫超. 一種用于水聲信道的稀疏權(quán)超指數(shù)迭代盲均衡算法研究[J]. 電子與信息學(xué)報(bào), 2005, 27(8): 1205-1207.
引用本文: 孫麗君, 孫超. 一種用于水聲信道的稀疏權(quán)超指數(shù)迭代盲均衡算法研究[J]. 電子與信息學(xué)報(bào), 2005, 27(8): 1205-1207.
Sun LiJun, Sun Chao. Improved Sparse Blind Equalizer Using Super-Exponential Iterative Form Algorithm for Underwater Acoustic Channels[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1205-1207.
Citation: Sun LiJun, Sun Chao. Improved Sparse Blind Equalizer Using Super-Exponential Iterative Form Algorithm for Underwater Acoustic Channels[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1205-1207.

一種用于水聲信道的稀疏權(quán)超指數(shù)迭代盲均衡算法研究

Improved Sparse Blind Equalizer Using Super-Exponential Iterative Form Algorithm for Underwater Acoustic Channels

  • 摘要: 超指數(shù)算法的迭代算法便于跟蹤時(shí)變信道,但是,其計(jì)算量與權(quán)長(zhǎng)的平方成比例,不利于工程實(shí)現(xiàn).該文利用水聲信道的稀疏性,采用超指數(shù)算法的部分步驟,估計(jì)權(quán)向量并進(jìn)行稀疏處理,初始化超指數(shù)迭代算法,不但減小了算法的計(jì)算量,而且加快了算法的收斂速度.計(jì)算機(jī)仿真證明了該方法的有效性.
    Abstract: The iterative form of the Super-Exponential （SE） algorithm has good convergence capability, but its complexity increases with the square of the equalizer length, which makes it unsuitable for hardware implementation. According to the properties of sparse underwater channels, a novel improved sparse Super-Exponential Iterative （SEI） blind equalization algorithm is proposed, which uses part of the SE algorithm to estimate the equalizer. After sparse processing, the equalizer is used to initialize the SEI algorithm. Less complexity and faster convergence rate is attainable with this method. The computer simulation results confirm the effectiveness of the proposed algorithm.
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  • Kilfoyle D B, Baggeroer A B. The state of the art in underwater acoustic telemetry[J].IEEE Journal of Oceanic Engineering.2000,25(1):4-[2]童峰,陸佶人.基于盲源分離的水聲信道盲均衡處理方法.電子與信息學(xué)報(bào),2003,25(2):70-274.[3]Jarvis S, Janiesch R, Fitzpatrick K, et al.. Results from recent sea trials of the underwater digital acoustic telemetry system[J].IEEE OCEANS 1997 Conference Proceedings.1997, 1:702-[4]Freitag L, Grund M, Singh S, et al.. A bidirectional coherent acoustic communication system for underwater vehicles[J].IEEE OCEANS 1998 Conference Proceedings.1998, 1:482-[5]Shalvi O, Weinstein E. Super-exponential methods for blind equalization. IEEE Trans. on Information Theory, 1993, 39(2):505 - 519.[6]Geller B, Capellano V, Jourdain G. Equalizer for real time high rate transmission in underwater communications. International Conference on Acoustics, Speech, and Signal Processing, 1995, 5:3179 - 3182.[7]Kocic M, Brady D, Stojanovic M. Sparse equalization for realtime digital underwater acoustic communications. IEEE OCEANS 1995 Conference Proceedings, 1995, 3: 1417- 1422.[8]Johnson M, Brady D, Grund M. Reducing the computational requirements of adaptive equalization in underwater acoustic communications. IEEE OCEANS 1995 Conference Proceedings,1995, 3:1405 - 1410.[9]Haykin S. Adaptive Filter Theory. Third Edition, Englewood Cliffs, New Jersey: Prentice-Hall, 1996, ch. 18.[10]張賢達(dá).通信信號(hào)處理.北京:清華大學(xué)出版社,2000:280.[11]王峰.基于高階統(tǒng)計(jì)量的水聲信道盲均衡理論與算法.[博士論文],西安:西北工業(yè)大學(xué),2003.
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出版歷程
  • 收稿日期:  2004-03-19
  • 修回日期:  2004-12-28
  • 刊出日期:  2005-08-19

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