›› 2015, Vol. 28 ›› Issue (3): 55-.

• 论文 • 上一篇    下一篇

MUSIC及其改进算法的研究与实现

黄丽薇,陈慧琴,陈玉林   

  1. (东南大学 成贤学院,江苏 南京 210088)
  • 出版日期:2015-03-15 发布日期:2015-03-12
  • 作者简介:黄丽薇(1982—),女,硕士,讲师。研究方向:信号与信息处理。E-mail:liwei8203@163.com

Research into and Implement of MUSIC Algorithm and its Improvement

HUANG Liwei,CHEN Huiqin,CHEN Yulin   

  1. (Chengxian College,Southeast University,Nanjing 210088,China)
  • Online:2015-03-15 Published:2015-03-12

摘要:

研究了用于阵列信号处理领域的重要分支,即信号到达角估计的几种MUSIC算法。阐述了经典MUSIC算法、前后向空间平滑MUSIC算法、改进MUSIC算法的原理。采用Matlab进行的仿真表明,经典MUSIC算法对于非相干信源的到达角估计具有良好的性能,但不能用于相干信源的到达角估计;前后向空间平滑MUSIC算法使可估计信源数减小、计算复杂度较高;改进MUSIC算法性能最好,不影响非相关信源的估计,也无明显计算量增加。几种算法在到达角估计中有各自的优缺点。

关键词: MUSIC, 空间平滑MUSIC, 改进MUSIC, 到达角估计

Abstract:

This paper studies several kinds of MUSIC algorithms for the arrival (DOA) estimation of signals,which is an important branch in array signal processing.The theories of classical MUSIC algorithm,Forward/Backward spatial smoothing MUSIC algorithm,and modified MUSIC algorithm are expounded.Simulation by Matlab shows that classical MUSIC algorithms are good in performance for estimating the doas of incoherent sources,but fails for coherent sources;the Forward/Backward spatial smoothing MUSIC algorithm decreases the source number,and increases the amount of calculation;modified MUSIC algorithm offer the best performance without affecting the estimation of relevant source or significant increase in the amount of calculation.These algorithms for the doas estimation have their own advantages and disadvantages.

Key words: MUSIC;spatial smoothing MUSIC;modified MUSIC;DOA

中图分类号: 

  • TN957