Aligned subspace rotation approach to parameter estimation of wideband source signals

Yougen Xu, Kang Zhao, Yulin Huang, Zhiwen Liu, Shuli Shi

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The conventional subspace rotation based scheme for narrowband or wideband source direction finding applies only to an array with translational invariance structure. A generalized subspace rotation approach to direction-of-arrival (DOA) estimation of wideband source signals is proposed in the paper by incorporating data alignment and determinant scanning. This method is applicable to an array without translational invariance structure, and requires no preliminary DOA estimation for subband data focusing. The performance of the proposed method in terms of resolution capability and DOA estimation accuracy has been evaluated by simulations, and compared with some existing subspace projection based and sparse representation based wideband DOA estimators. The applicability of the presented method to near-field wideband source localization has also been demonstrated.

源语言英语
主期刊名SSPS 2019 - 2019 International Symposium on Signal Processing Systems
出版商Association for Computing Machinery
1-4
页数4
ISBN(电子版)9781450362412
DOI
出版状态已出版 - 20 9月 2019
活动2019 International Symposium on Signal Processing Systems, SSPS 2019 - Beijing, 中国
期限: 20 9月 201922 9月 2019

出版系列

姓名ACM International Conference Proceeding Series

会议

会议2019 International Symposium on Signal Processing Systems, SSPS 2019
国家/地区中国
Beijing
时期20/09/1922/09/19

指纹

探究 'Aligned subspace rotation approach to parameter estimation of wideband source signals' 的科研主题。它们共同构成独一无二的指纹。

引用此