高斯色噪声背景下基于权向量的连续波信号检测  

Continuous Wave Signal Detection Based on Weight Vector underColored Gaussian Noise

作　　者：代振 吴吉伟 尹美方 DAI Zhen;WU Jiwei;YIN Meifang(Naval Petty Officer Academy,Bengbu 233000,China)

机构地区：[1]海军士官学校,安徽蚌埠233000

出　　处：《水下无人系统学报》2023年第5期746-749,共4页Journal of Unmanned Undersea Systems

摘　　要：针对高斯色噪声背景下信号检测需要进行预白化处理的问题,提出了一种基于权向量的信号检测方法。首先基于权向量构造检验统计量,分析其检测性能,在此基础上推导了N-P准则下的最优权向量,并证明了其与广义匹配滤波的等价性。通过构造合适的权向量,证明在大数据记录下检测连续波信号时无须进行预白处理,可以明显提高检测效率。仿真结果表明了该检测方法的有效性。Signal detection under colored Gaussian noise needs pre-white processing.In view of this,a signal detection method based on a weight vector was proposed.Firstly,the test statistics were constructed based on the weight vector,and its detection performance was analyzed.On this basis,the optimal weight vector under the N-P criterion was derived,and its equivalence with the generalized matched filter was proved.By constructing a suitable weight vector,it was proved that there was no need for prewhitening when continuous wave signals were detected in big data records,which significantly improved the detection efficiency.The simulation results verify the effectiveness of the detection method.

关 键 词：高斯色噪声 权向量 信号检测 连续波信号 预白化 

分 类 号：TJ630[兵器科学与技术—武器系统与运用工程] U666.7[交通运输工程—船舶及航道工程]