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基于RENYI熵的水声信道判决反馈盲均衡算法研究

张银兵 赵俊渭 李金明 孙勇

张银兵, 赵俊渭, 李金明, 孙勇. 基于RENYI熵的水声信道判决反馈盲均衡算法研究[J]. 电子与信息学报, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056
引用本文: 张银兵, 赵俊渭, 李金明, 孙勇. 基于RENYI熵的水声信道判决反馈盲均衡算法研究[J]. 电子与信息学报, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056
Zhang Yin-bing, Zhao Jun-wei, Li Jin-ming, Sun Yong. Decision Feedback Blind Equalization Algorithm Based on RENYI Entropy for Underwater Acoustic Channels[J]. Journal of Electronics & Information Technology, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056
Citation: Zhang Yin-bing, Zhao Jun-wei, Li Jin-ming, Sun Yong. Decision Feedback Blind Equalization Algorithm Based on RENYI Entropy for Underwater Acoustic Channels[J]. Journal of Electronics & Information Technology, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056

基于RENYI熵的水声信道判决反馈盲均衡算法研究

doi: 10.3724/SP.J.1146.2008.00056
基金项目: 

国家自然科学基金(60372086)资助课题

Decision Feedback Blind Equalization Algorithm Based on RENYI Entropy for Underwater Acoustic Channels

  • 摘要: 在水下通信系统中,为了抑制由多径效应产生的严重码间干扰,必须进行信道均衡。针对传统的常数模判决反馈盲均衡(CMA-DFE)收敛速度较慢的问题,该文提出了一种基于RENYI熵的判决反馈盲均衡算法(RENYI-DFE)。该算法使用RENYI熵算法调节均衡器前向权向量,用CMA算法调节均衡器反馈权向量,与CMA-DFE相比,该算法在计算量增加很小的情况下,使得盲均衡算法的收敛速度显著增加。仿真结果证明了该算法的优越性。
  • 张艳萍, 赵俊渭, 李金明. 一种适用于水声信道的双模式盲均衡算法电子与信息学报[J]..2005, 27(10):1535-1538浏览[2]王峰, 赵俊渭, 李洪升.一种混合常数模水声信道盲均衡新算法的研究. 声学学报[J], 2003, 28(2): 137-140.Wang Feng, Zhao Jun-wei, and Li Hong-sheng. Blindequalization of underwater acoustic channel using a kind ofcombined constant modulus algorithm. Acta Acustica, 2003,28(2): 137-140.[3]Lin Shou-Sheu and Wu Wen-Rong. Interpolated decisionfeedback equalization for long inter-symbol interferencechannels [J]. IEEE Trans. on Signal Processing, 2007, 87(11):2673-2685.[4]Beasley A and Cole A R. A blind decision feedback equalizerfor QAM signals based on the constant modulus algorithm[C]. Military Communications Conference, MILCOM 2006,Washington, D.C., 23-25 October, 2006: 1-7.[5]Santamara I, Pantalen C, Vielva L, and Principe J C. Afast algorithm for adaptive blind equalization using order-aRENYIs entropy [C]. Acoustics, Speech, and SignalProcessing, 2002. Proceedings. (ICASSP '02). IEEEInternational Conference on, Orlando, 13-17 May, 2002, 3:2657-2660.[6]摆玉龙, 杨志民. 基于Parzen窗法的贝叶斯参数估计[J]. 计算机工程与应用, 2007, 43(7): 55-58.Bai Yu-long and Yang Zhi-min. Bayes parameter estimationusing Parzen windows methods. Computer Engineering andApplications, 2007, 43(7): 55-58.[7]Bianchi P and Loubaton P. On the blind equalization ofcontinuous phase modulated signals using the constantmodulus criterion [J].IEEE Trans. on Signal Processing.2007, 55(3):1047-1061[8]Erdogmus D and Principe J C. Convergence properties anddata efficiency of the minimum error entropy criterion inadaline training [J].IEEE Trans. on Signal Processing.2003,51(7):1966-1978[9]Kawamoto M, Kohno K, and Inouye Y. Robustsuper-exponential methods for blind equalization of SISOsystems with additive Gaussian noise [C]. ISCAS 2005, IEEEInternational Symposium on Circuits and Systems, Japan,23-26 May, 2005: 3031-3034.[10]张艳萍, 赵俊渭等. 基于判决导引的水声信道混合盲均衡算法研究. 声学学报[J], 2005, 30(5): 442-446.Zhang Yan-ping and Zhao Jun-wei, et al.. On hybrid blindequalization algorithm based on decision-directed forunderwater acoustic channel. Acta Acustica, 2005, 30(5):442-446.[11]范敏毅. 水声信道的仿真与应用研究. [博士论文], 哈尔滨工程大学, 2000.Fan Min-yi. A study on simulation and application ofunderwater sound channel. [Ph.D. dissertation], HarbinEngineering University, 2000.
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出版历程
  • 收稿日期:  2008-01-11
  • 修回日期:  2008-06-23
  • 刊出日期:  2009-04-19

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