基于单矢量水听器的检测与DOA估计联合处理
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- 英文论文题名：Joint processing of detection and 2-D DOA estimation using a single acoustic vector- hydrophone
- 论文作者：朱传奇 ; 方世良 ; 罗昕炜
- 英文论文作者：ZHU Chuan-qi ; FANG Shi-liang ; LUO Xin-wei ; Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education ; Southeast University
- 年：2016
- 作者机构：东南大学水声信号处理教育部重点实验室;
- 论文关键词：联合处理 ; 检测 ; 2-D DOA估计 ; 单声矢量水听器 ; 宽带确知信号
- 英文论文关键词：joint processing ; detection ; 2-D DOA estimation ; acoustic vector-hydrophone ; wideband deterministic signal
- 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：TB565.1
- 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：4
- 文件大小：555k
- 原文格式：D
- 会议级别：全国
摘要
针对宽带确知信号检测与2-D DOA估计问题,提出了一种基于单矢量水听器的检测与2-D DOA估计联合处理算法,给出了基于聂曼-皮尔逊准则的检测统计量、检测阈值、虚警概率、检测概率和2-D DOA估计的克拉美-罗界的具体表达式,证明了该方法所得DOA估计是声源方位的最大似然估计。仿真试验结果表明,该方法优于基于声压与振速的相关处理器进行DOA估计的方法,所得2-D DOA估计的标准差接近克拉美-罗界。
This paper proposes a single acoustic vector- hydrophone based joint processing of detection and 2-D direction of arrival(DOA) estimation algorithm for wideband deterministic signal. Expressions of test statistic, threshold, false alarm probability,detection probability and Cramer-Rao Bound of 2-D DOA estimation are derived in closed form. The performance of detection and 2-D DOA estimation is analyzed and verified by computer simulation. The 2-D DOA estimation obtained by the JPDDE algorithm is equivalent to maximum likelihood estimation and its performance outperforms the DOA estimation method based on acoustic pressure and particle velocity correlation processor. The standard deviations of 2-D DOA estimation are close to Cramer-Rao Bound.
This paper proposes a single acoustic vector- hydrophone based joint processing of detection and 2-D direction of arrival(DOA) estimation algorithm for wideband deterministic signal. Expressions of test statistic, threshold, false alarm probability,detection probability and Cramer-Rao Bound of 2-D DOA estimation are derived in closed form. The performance of detection and 2-D DOA estimation is analyzed and verified by computer simulation. The 2-D DOA estimation obtained by the JPDDE algorithm is equivalent to maximum likelihood estimation and its performance outperforms the DOA estimation method based on acoustic pressure and particle velocity correlation processor. The standard deviations of 2-D DOA estimation are close to Cramer-Rao Bound.
引文
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[2]Nehorai A,Paldi E,Acoustic vector-sensor array processing[J].IEEE Trans.Signal Processing,1994,42(9):2481-2491.
[3]Raghavan R S,Qiu H F,Mc Laughlin D J,CFAR detection in clutter with unknown correlation properties[J].IEEE Trans.Aerospace and Electronic Systems,1995,35(2):647-657.
[4]孙贵青,杨德森,张揽月.基于矢量水听器的最大似然比检测和最大似然方位估计[J].声学学报,2003,28(1):66-72.Sun Guiqing,Yang Desen,Zhang Lanyue.Maximum likelihood ratio detection and maximum likelihood DOA estimation based on the vector hydrophone[J].Acta Acustica,2003,28(1):66-72.
[5]Awad M K,Wong K T,Recursive Least-Squares Source Tracking using One Acoustic Vector Sensor[J].IEEE Trans.Aerospace and Electronic Systems,2012,48(4):3073-3083.
[6]齐娜,田坦,孙大军.确知信号情况下矢量水听器检测及估计性能研究[J].信号处理,2005,21(1):41-44.Qi Na,Tian Tan,Sun Dajun,Research on Deterministic Signal Estimation of Acoustic Vector Sensor.Signal Processing,2005,21(1):41-44.