基于Rao检验的信号统计分辨界分析

发布时间：2018-04-22 08:42

本文选题：统计分辨界 + 统计检测　；参考：《电信科学》2017年07期

【摘要】：针对基于广义似然比检验(GLRT)的信号统计分辨界(SRL)分析存在计算较复杂、难以得到检测统计量解析表达式等问题,提出了一种基于Rao检测的SRL分析方法。分析了噪声方差已知和未知两种情形下的信号一维方位角SRL以及噪声方差已知时的信号二维方位角及俯仰角SRL,推导得到了Rao检测统计量以及对应SRL所需的最小信噪比(SNR),分析了检测性能、计算复杂度,并与GLRT方法进行了对比。仿真实验验证了Rao检测方法的有效性。
[Abstract]:A SRL analysis method based on Rao detection based on Rao detection is proposed to solve the problem that the analysis of the signal statistical resolution boundary (SRL) based on generalized likelihood ratio test (GLRT) is more complex and difficult to obtain the analytical expression of the detection statistics. The one-dimensional azimuth SRL of the signal under the known and unknown noise variance and the known noise variance is known. The two dimensional azimuth and the pitch angle SRL of the signal are obtained. The Rao detection statistic and the minimum signal to noise ratio (SNR) required for the corresponding SRL are derived. The detection performance and the computational complexity are analyzed. The comparison with the GLRT method is made. The validity of the Rao detection method is verified by the simulation experiment.

【作者单位】：杭州电子科技大学通信工程学院;
【基金】：国家自然科学基金资助项目(No.61271214,No.61301248) 浙江省自然科学基金重点资助项目(No.LZ14F010003)~~
【分类号】：TN911.7

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