基于MDL准则的MUSIC信号频率估计算法  

MUSIC Signal Frequency Estimation Algorithm Based on MDL Principle

作　　者：王鑫[1,2] 赵春晖[1] 戎建刚[2] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001 [2]航天科工集团8511研究所,南京210007

出　　处：《数据采集与处理》2008年第B09期1-5,共5页Journal of Data Acquisition and Processing

摘　　要：在正弦信号频率估计方法中,高分辨率谱估计的MUSIC算法利用信号子空间和噪声子空间的正交性进行信号频率的估计,可以得到很高的测频精度。但是信号源数的选择将会影响此方法的有效性。本文研究了基于最小描述长度(MDL)准则的MUSIC算法,信号子空间和噪声子空间的估计以及信号源数的确定同时进行,解决了MUSIC算法中信号源数对估计结果的影响。仿真结果表明利用该方法可准确地估计多个正弦信号的频率值。In sine signal frequency estimation, the MUSIC algorithm can estimate the signal frequency based on high resolution spectrum evaluation and obtain high estimation accuracy by using the orthogonality of signal subspace and noise subspace. But the choice of the numbers of signal sources has an impact on the validity of the method. A MUSIC algorithm based on minimum description length （MDL） principle is presented. It can estimate the signal subspace and the noise subspace. Meanwhile, the numbers of signal sources can be obtained, thus solving the influence of the numbers of signal sources in the MUSIC algorithm on the frequency estimation result. Simulation results show that the method can accurately estimate the frequency of multiple sine signals.

关 键 词：频率估计 高分辨率 谱估计 信号子空间 噪声子空间 最小描述长度(MDL) 

分 类 号：TN911[电子电信—通信与信息系统]