Abstract
This paper addresses the problem of coherent/fully correlated source localization using vector sensor arrays. A novel method for "decorrelating" the incident signals is presented. The method is based on vector sensor smoothing (VSS) and enables the use of eigenstructure-based techniques, which require uncorrelated or partially correlated signals. The method is implemented as a preprocessing stage before applying eigenstructure-based techniques, such as MUSIC. The performance of the proposed VSS preprocessing combined with MUSIC is evaluated and it is shown that it asymptotically achieves the Cramer-Rao bound.
Original language | English |
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Pages (from-to) | 141-144 |
Number of pages | 4 |
Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
Volume | 5 |
State | Published - 1 Jan 2003 |
Event | 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong Duration: 6 Apr 2003 → 10 Apr 2003 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering