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一种水声信道均衡器的混合算法
引用本文:贾宁,郭圣明,郭中源,陈岩,陈庚. 一种水声信道均衡器的混合算法[J]. 应用声学, 2009, 28(6): 439-446
作者姓名:贾宁  郭圣明  郭中源  陈岩  陈庚
作者单位:中国科学院声学研究所,北京,100190;中国科学院水声环境特性重点实验室
摘    要:水声高速相干通信中使用自适应均衡对抗信道在接收信号中产生的码间串扰。目前,1/2分数间隔采样的判决反馈均衡器结构得到了广泛的应用。本文分析了几种自适应算法在此种均衡器结构下的性能,结合浅海水声信道的特点,提出了一种快速卡尔曼滤波和快速自优化最小均方的混合算法,模拟及海试结果表明,该混合算法在计算复杂度、收敛速度以及稳定性方面都有很好的性能,已经应用到了水声实时高速通信系统当中。

关 键 词:自适应均衡  判决反馈  快速卡尔曼

Algorithm combining the fast kalman and FOLMS for the equalizer of underwater acoustics channel
JIA Lin,GUO Sheng-ming,GUO Zhong-yuan,CHEN Yan and CHEN Geng. Algorithm combining the fast kalman and FOLMS for the equalizer of underwater acoustics channel[J]. Applied Acoustics(China), 2009, 28(6): 439-446
Authors:JIA Lin  GUO Sheng-ming  GUO Zhong-yuan  CHEN Yan  CHEN Geng
Affiliation:(Institute of Acoustics,Chinese Academy of Sciences,BeiJing 100190)
Abstract:Equalizer is used to cancel the intersymbol interference (ISI) caused by time-varying multipath in underwater acoustic communication channel. At present the equalizer structure of decision feedback equalizers (DFE) embed with digital phase locked loop (DPLL) is popular. We analyze several kinds of adaptive algorithm's efficiencies and propose an algorithm combining the Fast Kalman and the fast self-optimized LMS (FOLMS), witch has good ability in convergence speed, computational complexity and stability. Both simulation and sea experiment results are proposed.
Keywords:Adaptive equalization  Decision feedback equalizer  Fast kalman algorithm
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