Source Number and DOA Estimation Method Based on Eigen-Beam MUSIC for Closely Spaced Signals

Li Liu, Xiaopeng Yang, Sheng Gao, Shuai Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

The estimation accuracy would degrade severely when two signal sources with different power are located closely by conventional DOA methods. In order to solve this problem, a estimation method based on Eigen-Beam MUSIC is proposed to obtain the DOA and source number jointly. Firstly, the source spectrum is constructed, and then the source number can be estimated by comparing the peak value of each peak and the noise power. Secondly, the DOA spatial spectrum is constructed by combining MUSIC spatial spectrum and eigen-beam spatial spectrum, which can enhance the spectral peak of weak sources in the signal subspace, and then estimate the DOA by searching the angle corresponding to the peak. Compared with the existing method, the proposed method has the simper computation and better estimation performance. Some results of numerical experiments are provided to demonstrate the effectiveness of the proposed method.

源语言英语
主期刊名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728123455
DOI
出版状态已出版 - 12月 2019
活动2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国
期限: 11 12月 201913 12月 2019

出版系列

姓名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

会议

会议2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
国家/地区中国
Chongqing
时期11/12/1913/12/19

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