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高斯白噪声信道下的弱信号盲检测方法

     

摘要

在电子侦察领域中,由于信号先验信息的缺失,传统时域检测方法的检测效果并不理想,变换域检测方法被大量应用,其中频域检测方法是应用最多且性价比最高的.在由时域向频域的信号变换中,DFT运算虽然可以改善信噪比,但在信号较弱时,需要做点数较多的DFT运算以满足检测器要求.提出一种基于噪声迭代估计的虚拟杂波参考通道建立方法,以减少双通道频域CFAR检测方法对硬件条件的依赖.在频域CA?CFAR检测方法现有研究成果的基础上引入非相干积累方法,在经过一定次数的频域能量积累后,保持信号频域峰均比不变的同时降低噪声的频域峰均比,得到了较优的检测性能.通过仿真分析两种算法经过一定次数非相干积累以及对门限进行一定的经验修正后,可得到虚警率和漏警率均小于0.1%的检测门限.%In the field of electronic reconnaissance,the detection effect of the traditional time?domain detection method is not ideal due to the loss of signal prior information,so the transform?domain detection method is widely used,in which the fre?quency?domain detection method is the most widely?used and most cost?effective method. The DFT operation can improve the sig?nal?to?noise ratio from time domain to frequency domain in the signal conversion. For the weak signal,the DFT operation for enormous points can meet the requirement of the detector. In order to reduce the dependence of dual?channel frequency?domain CFAR detection method on hardware conditions,a virtual clutter reference channel establishment method based on noise itera?tive evaluation is proposed. On the basis of the available research results of frequency?domain CA?CFAR detection method,the non?coherent accumulation method is introduced. After a certain times of frequency?domain energy accumulation,the frequency?domain peak?to?average ratio of the noise is reduced while maintaining the frequency?domain peak?to?average ratio of the signal, and the perfect detection performance is obtained. The two algorithms are performed with a certain times of non?coherent accumu?lation and the threshold is performed with a certain empirical correction to get the detection threshold whose false alarm rate and fail alarm rate are less than 0.1%.

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