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作 者:谢磊 孙超[1,2] 刘雄厚 蒋光禹[1,2] 孔德智 XIE Lei;SUN Chao;LIU Xionghou;JIANG Guangyu;KONG Dezhi(Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology Xi'an 710072;School of Marine Science and Technology, Northwestern Polytechnical University Xi'an 710072)
机构地区:[1]海洋声学信息感知工业和信息化部重点实验室(西北工业大学),西安710072 [2]西北工业大学航海学院,西安710072
出 处:《声学学报》2018年第4期516-525,共10页Acta Acustica
基 金:国家自然科学基金项目(51479169,11534009)资助
摘 要:针对信噪比较低时,多重信号分类(Multiple Signal Classification,MUSIC)算法方位谱背景级较高的问题,提出了一种解卷积的MUSIC方位估计算法(Deconvolvecd MUSIC,D-MUSIC)。该方法用一个类似冲激函数作为MUSIC算法输出方位谱的点散射函数(Point Scattering Function,PSF),然后基于解卷积图像复原理论,利用该点散射函数和RichardsonLucy(R-L)迭代算法对MUSIC算法的方位谱进行解卷积,获得D-MUSIC算法的方位谱,达到降低方位谱背景级的目的。仿真表明,该方法继承了MUSIC算法的高分辨性能,且可以明显降低方位谱的背景级,具有较好的方位估计性能。对南海海上试验的水平阵数据进行处理,分析比较了利用MUSIC算法和解卷积MUSIC算法获得的方位谱时间历程图,分析结果有效验证了D-MUSIC算法性能的优越性。The background levels of the multiple signal classification (MUSIC) algorithm for the direction of arrival (DOA) estimation are relatively high when the signal-to-noise ratio (SNR) of the receiving data is low. This paper proposes a deconvolved MUSIC (D-MUSIC) algorithm for suppressing the background levels in the DOA estimation. The D-MUSIC algorithm utilizes an analogous impulse function as the point scattering function (PSF) of the MUSIC azimuth spectrum, and then the direction of the source can be estimated by iterating the azimuth spectrum of the MUSIC algorithm based on the Richardson-Lucy (R-L) algorithm. The numerical result shows that the D-MUSIC algorithm inherits the high resolution performance of the MUSIC algorithm and manifests a lower background levels titan the MUSIC algorithm. The low background levels performance of the D-MUSIC algorithm is also verified by the data collected by a horizontal linear array during an experiment in the South China Sea.
关 键 词:多重信号分类算法 解卷积 MUSIC算法 背景处理 SIGNAL 散射函数 估计算法 冲激函数
分 类 号:TN911.7[电子电信—通信与信息系统]
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