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Matched Field Source Localization and Interference Suppression Using Mode Space Estimation  

Kim, Kyung-Seop (서울대학교 조선해양공학과)
Seong, Woo-Jae (서울대학교 조선해양공학과)
Pyo, Sang-Woo (리얼웹)
Publication Information
The Journal of the Acoustical Society of Korea / v.27, no.1, 2008 , pp. 40-46 More about this Journal
Abstract
Weak target detection and localization in the presence of loud surface ship noise is a critical problem for matched field processing (MFP) in shallow water. For stationary sources, each signal component of received signal can be separated and interference can be suppressed using eigen space analysis schemes. However, source motion, in realistic cases, causes spreading of signal energies in their subspace. In this case, eigenvalues of target and interfere signal components are mixed and hard to be separated with usual phone space eigenvector decomposition (EVD) approaches. Our technique is based on mode space and utilizes the difference in their physical characteristics of surface and submerged sources. Performing EVD for modal cross spectral density matrix, interference components in the mode amplitude subspace can be classified and eliminated. This technique is demonstrated with synthetic data, and results are discussed.
Keywords
Matched-field processing; matched mode; interference suppression; eigenvector decomposition;
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Times Cited By KSCI : 2  (Citation Analysis)
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