基于修正Gram-Schmidt算法预白的水下目标检测方法  

Underwater Target Detection Method Using Prewhitener by Modified Gram-Schmidt Algorithm

作　　者：许江湖[1] 张明敏[1] 

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《数据采集与处理》2006年第3期307-312,共6页Journal of Data Acquisition and Processing

摘　　要：将基于最小二乘问题的修正G ram-Schm idt算法运用于白化滤波器,提出一种基于修正G ram-Schm idt算法的白化滤波器。推导了该白化滤波器的权值表达式,分析了其白化性能和滤波器阶数的选择应注意的问题。提出了基于修正G ram-Schm idt算法预白的水下目标回波检测方法。蒙特卡洛仿真显示该方法的检测性能优于传统的基于AR模型预白的检测方法,尤其是在低信混比或(和)低多普勒的情况下。Modified Gram-Schmidt algorithm is applied to the whitening filter. A whitening filter is proposed based on the modified Gram-Schmidt. The expression of the weight vector is derived for the filter. Its whitening performance and the selected filter order are analyzed. An underwater target echo detection method is presented based on the prewhitener by the modified Gram-Schmidt. Monte Carlo simulations indicate that the method can provide better performance than the detection method based on prewhitener by the AR model, especially under the condition of low signal-to-reverberation ratio or（and） low Doppler.

关 键 词：修正Gram—Schmidt算法 目标回波检测 白化滤波器 蒙特卡洛仿真 

分 类 号：TB566[交通运输工程—水声工程]