FAST MUSIC SPECTRUM PEAK SEARCH VIA METROPOLIS-HASTINGS SAMPLER  

作　　者：Guo Qinghua Liao Guisheng 

机构地区：[1]National Key Lab for Radar Signal Processing, Xidian University, Xi＇an 710071, China

出　　处：《Journal of Electronics(China)》2005年第6期599-604,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60172028).

摘　　要：A fast MUltiple SIgnal Classification (MUSIC) spectrum peak search algorithm is devised, which regards the power of the MUSIC spectrum function as target distribution up to a constant of proportionality, and uses Metropolis-Hastings (MH) sampler, one of the most popular Markov Chain Monte Carlo (MCMC) techniques, to sample from it. The proposed method reduces greatly the tremendous computation and storage costs in conventional MUSIC techniques i.e., about two and four orders of magnitude in computation and storage costs under the conditions of the experiment in the paper respectively.A fast MUltiple Signal Classification （MUSIC） spectrum peak search algorithm is devised, which regards the power of the MUSIC spectrum function as target distribution up to a constant of proportionality, and uses Metropolis-Hastings （MH） sampler, one of the most popular Markov Chain Monte Carlo （MCMC） techniques, to sample from it. The proposed method reduces greatly the tremendous computation and storage costs in conventional MUSIC techniques i.e., about two and four orders of magnitude in computation and storage costs under the conditions of the experiment in the paper respectively.

关 键 词：MUltiple Signal Classification （MUSIC） algorithm Metropolis-Hastlngs （MH）sampler Markov Chain Monte Carlo （MCMC） 

分 类 号：TN911.6[电子电信—通信与信息系统]