声矢量阵自适应波束域广义似然比检测算法

doi:10.3969/j.issn.0372-2112.2015.01.021

电子学报 ›› 2015, Vol. 43 ›› Issue (1): 135-139.DOI: 10.3969/j.issn.0372-2112.2015.01.021

声矢量阵自适应波束域广义似然比检测算法

梁国龙^1,2, 陶凯^1,2, 范展^1,2

1. 哈尔滨工程大学水声技术重点实验室, 黑龙江哈尔滨 150001;
2. 哈尔滨工程大学水声工程学院, 黑龙江哈尔滨 150001

收稿日期:2013-09-06 修回日期:2014-02-11 出版日期:2015-01-25
- 作者简介:
- 梁国龙 男, 1964年11月出生, 吉林农安人, 哈尔滨工程大学水声工程学院教授、博士生导师, 主要研究方向:水声信号处理、水声工程、水声定位与导航、水声通信等.E-mail:liangguolong@hrbeu.edu.cn;陶凯男, 1987年1月出生, 江西九江人, 哈尔滨工程大学水声工程学院博士研究生, 主要研究方向:水声信号处理、阵列信号处理等.E-mail:bingchengyuke@163.com
- 基金资助:
- 国家自然科学基金 (No.51279043,No.61201411,No.51209059); 水声技术重点实验室基金 (No.9140C200203110C2003); 海军装备预研项目 (No.1011204030104); 黑龙江省普通高校青年学术骨干支持计划 (No.1253G019)

Adaptive Beam Space Transformation Generalized Likelihood Ratio Test Algorithm Using Acoustic Vector Sensor Array

LIANG Guo-long^1,2, TAO Kai^1,2, FAN Zhan^1,2

1. Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin, Heilongjiang 150001, China;
2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China

Received:2013-09-06 Revised:2014-02-11 Online:2015-01-25 Published:2015-01-25
- Supported by:
- National Natural Science Foundation of China (No.51279043, No.61201411, No.51209059); Fund of Key Laboratory of Underwater Acoustic Technology (No.9140C200203110C2003); Naval Equipment Pre-research Project (No.1011204030104); Young Academic Backbone Support Program of Colleges and Universities of Heilongjiang Province (No.1253G019)

摘要/Abstract

摘要：

为了解决水下强干扰背景下的远程弱目标被动探测问题,基于声矢量阵,本文提出了一种自适应波束域的检测算法.该算法首先对阵列接收数据进行波束域变换,令通带覆盖整个观测扇面,并自适应地抑制扇面外的强干扰信号;然后在波束域进行广义似然比检测.仿真结果表明,该算法能在强干扰背景下实现对远程弱目标的检测,并且具有恒虚警率特性.

关键词: 水声信号处理, 信号检测, 干扰抑制, 声矢量阵, 波束域变换, 恒虚警率

Abstract:

In order to resolve the detection problem of passive remote weak targets under the background of strong interference,a detection algorithm based on adaptive beam space transformation using acoustic vector sensor array is proposed.Firstly,by designing a beamspace matrix which covers the observed sector and rejects the interference signals out-of-sector,the array output data are transformed to beamspace.Then,the generalized likelihood ratio test is derived in beamspace.The simulation results show that the method can detect the passive weak targets efficiently under the background of strong interference,and provide the constant false alarm rate(CFAR) detection.

Key words: acoustic signal processing, signal detection, interference suppression, acoustic vector sensor array, beamspace transformation, CFAR

中图分类号:

TB566

梁国龙, 陶凯, 范展. 声矢量阵自适应波束域广义似然比检测算法[J]. 电子学报, 2015, 43(1): 135-139.

LIANG Guo-long, TAO Kai, FAN Zhan . Adaptive Beam Space Transformation Generalized Likelihood Ratio Test Algorithm Using Acoustic Vector Sensor Array[J]. Acta Electronica Sinica, 2015, 43(1): 135-139.

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声矢量阵自适应波束域广义似然比检测算法

Adaptive Beam Space Transformation Generalized Likelihood Ratio Test Algorithm Using Acoustic Vector Sensor Array

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