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基于支持向量机的水声信道盲均衡算法研究
引用本文:李金明,赵俊渭,陆晶. 基于支持向量机的水声信道盲均衡算法研究[J]. 电声技术, 2006, 0(9): 4-6
作者姓名:李金明  赵俊渭  陆晶
作者单位:西北工业大学,声学工程研究所,陕西,西安,710072;西北工业大学,声学工程研究所,陕西,西安,710072;武警工程学院,电子技术系,陕西,西安,710086
基金项目:国家自然科学基金;复杂水声信道中盲均衡理论与新算法研究
摘    要:水声信道的带宽极为有限,与需要训练序列的自适应均衡算法相比盲均衡技术节省了带宽,特别适合高速水声通信和多点通信。针对基于高阶统计量的盲均衡算法收敛速度慢的缺点,研究了一种基于支持向量机的盲均衡算法,它收敛速度快并具有全局最优解。通过对浅海信道触发通信信号的计算机仿真,证明了算法的有效性。

关 键 词:盲均衡  支持向量机  水声通信
文章编号:1002-8684(2006)09-0004-03
收稿时间:2006-06-13
修稿时间:2006-06-13

Underwater Acoustic Channel Blind Equalization Algorithm Based on Support Vector Machines
LI Jin-ming,ZHAO Jun-wei,LU Jing. Underwater Acoustic Channel Blind Equalization Algorithm Based on Support Vector Machines[J]. Audio Engineering, 2006, 0(9): 4-6
Authors:LI Jin-ming  ZHAO Jun-wei  LU Jing
Abstract:The bandwidth of the underwater acoustic channel is greatly limited. Compared with adaptive equalization algorithms, blind equalization technique which preserves bandwidth is very suitable for scenarios such as high speed underwater acoustic communication and multipoint communication. Due to the blind equalization algorithm based on high-order statistics suffering from slow convergence, a blind equalization algorithm based on support vector machines which converges fast and has a global optimal solution is investigated. Through computer simulation of a shallow water channel using burst communication data, the effectiveness of the algorithm is demonstrated.
Keywords:blind equalization  support vector machines  underwater communication
本文献已被 CNKI 维普 万方数据 等数据库收录!
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