A Novel Fast High-Resolution SSMUSIC Algorithm Based on Short Data Samples

摘要：

In this paper, we propose a novel fast high-resolution SSMUSIC (Signal Subspace Scaled MUSIC) algorithm which focuses on short data samples based on MSWF (Multi-Stage Wiener Filter) theory. The method we propose, which we call MSWF SSMUSIC, is superior to MUSIC in angular resolution (separation) and angular estimation performance, particularly in the low signal-to-noise ratio (SNR) and/or small measurement support regimes, and has lower computational complexity than SSMUSIC algorithm with slighter performance loss. The proposed approach is quite suitable for short data lengths or when the environment is quite dynamic, with the addition of satisfactory performance and relatively reduced computational load. Numerical results are presented to illustrate the effectiveness and validity of the proposed method.

作者: Xian-Zhou CHEN Lu GAN Li-Ping LI

作者单位: Electronic Engineering/University of Electronic Science & Technology of China/Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 313-317

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）