非均匀混响统计建模与功率估计  

Statistical modeling and power estimation for inhomogeneous reverberations

作　　者：何鑫彪 刘明刚[1] 许彦伟[1] 郝程鹏[1] 侯朝焕[1,2] HE Xinbiao;LIU Minggang;XU Yanwei;HAO Chengpeng;HOU Chaohuan(Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190;University of Chinese Academy of Sciences,Beijing 100049)

机构地区：[1]中国科学院声学研究所,北京100190 [2]中国科学院大学,北京100049

出　　处：《声学学报》2021年第6期913-925,共13页Acta Acustica

基　　金：国家自然科学基金项目(61971412,61671443)资助。

摘　　要：针对非均匀混响中进行恒虚警(CFAR)检测所需的背景功率估计问题,通过对非均匀混响进行统计建模分析,提出一种非均匀混响功率自适应估计方法。所提方法基于排序统计、功率分类等处理,对混响数据服从的统计模型进行判别,根据均匀混响、参杂强干扰混响、混响边缘等具有不同特性的混响成分,选择不同的处理方式进行功率估计。进一步将所提出的混响功率估计方法应用于CFAR检测中,获得一种新的CFAR检测器。仿真和实测混响数据的处理结果表明,提出的混响功率估计方法可以对强干扰和混响边缘等非均匀混响背景进行有效判别和功率估计,提出的CFAR检测器有效提高了非均匀混响背景中的目标检测性能。A power estimation method on inhomogeneous reverberations is proposed based on the statistical modeling.In our method,the inhomogeneous reverberations are distinguished and processed based on the order statistics and the amplitude classifications.And the processed amplitude data is selected to estimate the reverberation power based on the characteristic of the inhomogeneous reverberations.Furthermore,based on the power estimation of inhomogeneous reverberations,the Constant False Alarm Rate(CFAR)detection is realized to improve the target detection performance.Simulation results based on real reverberation data and simulated target data show that the proposed method can properly classify the inhomogeneous reverberations and estimate the reverberation power,which is useful for improving the performance of the CFAR detector in inhomogeneous reverberation.

关 键 词：功率估计 功率自适应 CFAR检测 统计建模 统计模型 混响 强干扰 处理方式 

分 类 号：U666.7[交通运输工程—船舶及航道工程]