Order statistics approach for determining the number of sources using an array of sensors

IEEE Signal Processing Letters

Volumn 6, Issue 7, 1999, Pages 179-182

  Fishler, E ^a   Messer, H ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ARRAYS; CONVERGENCE OF NUMERICAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; INFORMATION THEORY; MATHEMATICAL MODELS; MATRIX ALGEBRA; SENSORS; SIGNAL TO NOISE RATIO; STATISTICS;

AKAIKE INFORMATION CRITERION; MINIMUM DESCRIPTION LENGTH; MODEL ORDER SELECTION;

SIGNAL DETECTION;

EID: 0032637743     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.769363     Document Type: Article

References (8)

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3. M. Bhandary, "Detection of the number of signals in the presence of white noise in decentralized processing," IEEE. Trans. Signal Processing, vol. 46, pp. 800-803, 1998.
4. H. A. David, Order Statistics, 2nd ed. New York: Wiley, 1981
5. D. H. Johnson and D. E. Dudgeon, Array Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1993.
6. K. V. Mardia et al., Multivariate Analysis. New York: Academic, 1979
7. J. Rissanen, "Modeling by shortest data description," Automatica, vol. 14, pp. 465-471, 1979.
8. M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 387-392, Apr. 1985.