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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: 633-637
E. Gonen , Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
M.C. Dogan , Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
J.M. Mendel , Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
ABSTRACT
Dogan and Mendel (see IEEE Trans. on Signal Processing, 1994) have developed the virtual-ESPRIT algorithm (VESPA) for direction-finding and recovery of independent sources. VESPA can calibrate an array of unknown configuration and arbitrary response by using just one additional pair of identical sensors (instead of a copy of the entire array or storage of the entire array response for every possible scenario, which is required by existing alternatives). We present an approach that generalizes VESPA to handle the case of highly correlated or coherent sources. Unlike existing methods, our method is not restricted to linear arrays, and no search procedure is needed. Just as in VESPA, it is still possible to detect more sources than sensors, and suppress both Gaussian as well as non-Gaussian noise. A simulation experiment supporting our conclusions is provided.<>
INDEX TERMS
direction-of-arrival estimation, higher order statistics, Gaussian noise, interference suppression, linear antenna arrays, correlation methods
CITATION

E. Gonen, M. Dogan and J. Mendel, "Applications of cumulants to array processing: direction-finding in coherent signal environment," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 633-637.
doi:10.1109/ACSSC.1994.471529
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