1. 汕头大学电子工程系,广东,汕头,515063
2. 空军雷达学院军队重点实验室,湖北,武汉,430019
3. 汕头大学电子工程系广东汕头,515063
4. 空军雷达学院军队重点实验室湖北武汉,430019
纸质出版:2011
移动端阅览
李旭涛, 王首勇. α稳定噪声中基于双参数CGM模型的Rao检测[J]. 电子学报, 2011,39(9):2014-2018.
LI Xu-tao, WANG Shou-yong. BCGM Based Rao Detection in α-Stable Noise[J]. Acta Electronica Sinica, 2011, 39(9): 2014-2018.
针对α稳定分布概率密度函数无闭式表达的问题
给出了一种解析的近似模型
该模型采用双参数的柯西和高斯混合形式.由分数低阶矩
给出了混合比率的解析表达式.同传统的柯西-高斯混合模型和高斯混合模型相比
该模型具有完全的解析形式.基于该模型
导出了α稳定噪声条件下正弦信号的Rao检测统计量.通过仿真给出了不同特征指数α时Rao检测的性能
并同基于高斯假设的Rao检测进行了比较.仿真结果表明
该检测器在α稳定分布噪声条件下对信号的检测性能明显优于基于高斯假设的Rao检测.
Aimed at the problem that α-stable distribution has no closed form expression for the probability density function (PDF)
an approximate expression is suggested.Such model is a mixture of Gaussian and Cauchy with bi-parameter.The mixture ratio is determined by fractional low order moment (FLOM).Proposed model has a complete closed form and provides analytical convenience.Based on such model
this paper further proposes a Rao statistical test method for the detection of sine signal under the α-stable noise environment.We illustrate the detection performances of the proposed Rao test for various α
and compare them with the Rao test that based on Gaussian assumption.Simulation results show that the proposed Rao detector distinctively outperforms the Rao detector that based on Gaussian assumption.
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