Sequence CLEAN-Based Source CSDM Retrieval Algorithm for Multiple Targets at Nonlinear MFP

Hyeong-Uk LEE
Tae-Gyun LIM
Chan-Sik HWANG

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E88-A    No.7    pp.1767-1770
Publication Date: 2005/07/01
Online ISSN: 
DOI: 10.1093/ietfec/e88-a.7.1767
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Multi-channel Acoustic Signal Processing)
MFP,  MVDR,  Sequence-CLEAN,  

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This paper proposes a method for estimating the number and locations of multiple targets distributed in the ocean. This is achieved by calculating the cross spectral density matrix (CSDM) generated from individual sound sources and applying them to a minimum variance distortionless response (MVDR), a nonlinear processor. The individual CSDMs are calculated by separating and extracting a Sequence CLEAN-based data vector from the CSDM of the data vector received from multiple targets. Numerical simulations demonstrate that the proposed method improves the MVDR performance in the case of multiple targets.