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

作　　者：梁国龙[1,2] 陶凯[1,2] 范展[1,2] 

机构地区：[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

出　　处：《电子学报》2015年第1期135-139,共5页Acta Electronica Sinica

基　　金：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)

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.In order to resolve the detection problem of passive remote w eak 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 w hich 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 w eak targets efficiently under the background of strong interference,and provide the constant false alarm rate（ CFAR） detection.

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 

分 类 号：TB566[交通运输工程—水声工程]