自适应相干累积算法的性能研究
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- 英文论文题名：Study of the adaptive coherent integration algorithm
- 论文作者：孙权 ; 马远良 ; 汪勇
- 英文论文作者：SUN Quan ; MA Yuan-liang ; WANG Yong ; School of Marine Science and Technology ; Northwestern Polytechnical University
- 年：2016
- 作者机构：西北工业大学航海学院;
- 论文关键词：ACI算法 ; LMS ; 信号检测
- 英文论文关键词：ACI algorithm ; LMS ; signal detection
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：TB56
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：3
- 文件大小：570k
- 原文格式：D
- 会议级别：全国
摘要
基于最小均方误差(LMS)算法的自适应相干累积器,是自适应算法的一种创新应用,可在保持算法结构相对简单的基础下,具有不需要信号和背景噪声先验知识的特性,因此近年来在水声信号处理方面受到了广泛关注。自适应相干累积(ACI)算法在检测不同形式信号,尤其是单频和调频脉冲信号等方面具有优越的性能,不仅能够加快收敛速度,而且可以明显提高输出信噪比。仿真实验和实测数据均验证了ACI算法的有效性和实用性。
The adaptive coherent integrator based on least-mean-square(LMS) algorithm is an innovative application of adaptive algorithm, which can keep its structure relatively simple, without needing any prior knowledge of signals or background noise. Thus it has attracted much attention in the field of underwater signal processing. The ACI algorithm has superior performance in terms of signal detection, especially for CW and LFM signals. Furthermore the ACI algorithm can accelerate the convergence speed of filters and increase the output SNR. Simulation and experimental results demonstrate the good performance of the ACI algorithm.
The adaptive coherent integrator based on least-mean-square(LMS) algorithm is an innovative application of adaptive algorithm, which can keep its structure relatively simple, without needing any prior knowledge of signals or background noise. Thus it has attracted much attention in the field of underwater signal processing. The ACI algorithm has superior performance in terms of signal detection, especially for CW and LFM signals. Furthermore the ACI algorithm can accelerate the convergence speed of filters and increase the output SNR. Simulation and experimental results demonstrate the good performance of the ACI algorithm.
引文
[1]马远良.检测单频或调频脉冲信号的自适应相干累积[C].北京:第一届全国信号处理学术会议论文集,1984:971-974.MA Yuanliang.Adaptive Coherent Integration for detecting CW or LFM pulse signals[C].Peking:Proceeding for the first national conference on signal processing,1984:971-974.
[2]黄冠钦,杨坤德,马远良.微弱信号的自适应相干累积检测[J].声学技术,2011,30(3):198-200.HUANG Guanqing,YANG Kunde,MA Yuanliang.Detecting weak signals with adaptive coherent integration[J].Tech Acous,2011,30(3):198-200.
[3]汪勇,杨益新.柱体表面圆环阵稳健高增益波束形成的模态域直接优化方法研究[J].声学学报,2012,37(3):308-318.Wang Y.,Yang Y.X.,Li X.G.On direct optimization in mode space for robust supergain beamforming of circular array mounted on a cylinder[J].Chin.J.Acoust.,2012,31(4):392-407.
[4]Wang Y.,Yang Y.X.,He Z.Y.,et al.A general superdirectivity model for arbitrary sensor arrays[J].EURASIP J.Adv.Signal Process.,2015,2015(68):1-16
[2]黄冠钦,杨坤德,马远良.微弱信号的自适应相干累积检测[J].声学技术,2011,30(3):198-200.HUANG Guanqing,YANG Kunde,MA Yuanliang.Detecting weak signals with adaptive coherent integration[J].Tech Acous,2011,30(3):198-200.
[3]汪勇,杨益新.柱体表面圆环阵稳健高增益波束形成的模态域直接优化方法研究[J].声学学报,2012,37(3):308-318.Wang Y.,Yang Y.X.,Li X.G.On direct optimization in mode space for robust supergain beamforming of circular array mounted on a cylinder[J].Chin.J.Acoust.,2012,31(4):392-407.
[4]Wang Y.,Yang Y.X.,He Z.Y.,et al.A general superdirectivity model for arbitrary sensor arrays[J].EURASIP J.Adv.Signal Process.,2015,2015(68):1-16