Abstract
The covariance approximation (CA) multiple signal classification (MUSIC) is a novel near-field direction-of-arrival (DoA) estimation method for uniform linear array. In this paper, we show that the CA-MUSIC suffers from significant performance degeneration caused by coherent sources. The CA-MUSIC with coherent sources generates the image sources (IS), which cannot be distinguished from the real sources. To solve this problem, we propose a CA-based near-field coherent sources localization algorithm, which is robust to the IS effect. The proposed CA algorithm avoids errors caused by coherence between sources using searching radius restriction and zero-forcing MUSIC. Simulation results shows that the proposed CA algorithm offers superior root mean square error (RMSE) performances for near-field coherent sources.
Original language | English |
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Article number | 6509484 |
Pages (from-to) | 187-195 |
Number of pages | 9 |
Journal | IEEE Journal of Oceanic Engineering |
Volume | 40 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2015 Jan 1 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Ocean Engineering
- Mechanical Engineering
- Electrical and Electronic Engineering