A Covariance Approximation Method for Near-Field Coherent Sources Localization Using Uniform Linear Array

作者：Noh Hoondong^*; Lee Chungyong

来源：IEEE Journal of Oceanic Engineering, 2015, 40(1): 187-195.

DOI：10.1109/JOE.2013.2249872

• Coherent sources
• covariance approximation
• focused beamforming (BF)
• near field
• zero-forcing multiple signal classification (ZF-MUSIC)

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.

• 出版日期2015-1