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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 643-647
P. Stoica , Dept. of Appl. Electron., Chalmers Univ. of Technol., Goteborg, Sweden
M. Viberg , Dept. of Appl. Electron., Chalmers Univ. of Technol., Goteborg, Sweden
M. Wong , Dept. of Appl. Electron., Chalmers Univ. of Technol., Goteborg, Sweden
Q. Wu , Dept. of Appl. Electron., Chalmers Univ. of Technol., Goteborg, Sweden
ABSTRACT
The problem of using a partly calibrated array for maximum likelihood (ML) bearing estimation of possibly coherent signals buried in unknown correlated noise fields is shown to admit a neat solution under fairly general conditions. The ML estimator introduced in this paper (and referred to as MLE) is shown to be asymptotically equivalent to a subspace-based bearing estimator proposed by Wu and Wong (see IEEE Trans. Signal Processing, vol. 42, Sept. 1994) (called UNCLE and re-derived herein by a simpler approach than in the original work). A statistical analysis is performed, proving that the MLE and UNCLE methods are asymptotically equivalent and statistically efficient. In a simulation study, the methods are also found to possess very similar finite-sample properties.<>
INDEX TERMS
direction-of-arrival estimation, maximum likelihood estimation, signal sampling, noise, correlation methods, calibration
CITATION

P. Stoica, M. Viberg, M. Wong and Q. Wu, "Optimal direction finding with partially calibrated arrays in spatially correlated noise fields," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 643-647.
doi:10.1109/ACSSC.1994.471531
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