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一种双参数可调的水声信道自适应均衡算法
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  • 英文篇名:Two-parameter Adjustable Underwater Acoustic Channel Equalization Algorithm
  • 作者:李芳兰 ; 周跃海 ; 童峰
  • 英文作者:LI Fang-lan,ZHOU Yue-hai,TONG Feng(Key Laboratory of Underwater Acoustic Communication and Marine Information Technology,Ministry of Education, Xiamen University,Xiamen 361005,Fujian,China)
  • 关键词:信息处理技术 ; 浅海水声通信 ; 自适应均衡 ; 双参数平行滤波器组算法
  • 英文关键词:information processing;shallow water acoustic channel;adaptive equalization;two-parameter adjustable least mean square equalization algorithm
  • 中文刊名:BIGO
  • 英文刊名:Acta Armamentarii
  • 机构:厦门大学水声通信与海洋信息技术教育部重点实验室;
  • 出版日期:2013-06-15
  • 出版单位:兵工学报
  • 年:2013
  • 期:v.34;No.195
  • 基金:国家自然科学基金项目(11274259);; 教育部高等学校博士学科点专项基金项目(20120121110030)
  • 语种:中文;
  • 页:BIGO201306011
  • 页数:6
  • CN:06
  • ISSN:11-2176/TJ
  • 分类号:72-77
摘要
针对浅海水声信道固有的随机时-空-频变、高噪、强多径等特性及变化的多径时延扩展,在变步长最小均方(LMS)平行滤波器组(PFB-LMS)算法的基础上提出了一种新的水声通信自适应均衡算法。该算法将变阶数和变步长的调整结合起来,降低了算法对迭代步长和均衡器阶数的敏感度。仿真结果表明,新算法在参数适应性方面优于传统LMS及PFB-LMS算法。
        The shallow water acoustic channel is characterized as a complex time,space and frequency-variant channel with several negative factors,e.g.narrow band,high ambient noise,multipath distortion and polytropic multipath time delay which pose serious difficulty for the underwater acoustic communication.A novel two-parameter adjustable least mean square(LMS) equalization algorithm is presented based on the classic parallel filter banks LMS(PFB-LMS) algorithm.The new algorithm enables hybrid adjustment of step-size and tap-length so that the sensitivity of step-size and tap-length parameter selections is alleviated.Simulation results show that the new algorithm outperforms the traditional LMS and PFB-LMS algorithms in parameter robustness under time varying channels.
引文
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