Maximum likelihood diffusive source localization based on binary observations

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn 1, Issue , 2004, Pages 1008-1012

  Levinbook, Yoav ^a   Wong, Tan F ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; ERRORS; FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); ITERATIVE METHODS; SAMPLING; SENSORS; WHITE ACOUSTIC NOISE;

COVARIANCE; CRAMER-RAO BOUND (CRB); MEAN SQUARED ERRORS (MSE); SENSOR NETWORKS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 21644477329     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. R. Ghez, A Primer of Diffusion Problems. Wiley, 1988.
2. S. Vijayakumaran, Y. Levinbook, and T. F. Wong, "On diffusive source localization using dumb sensors," in Proceedings of the IEEE International Symposium on Information Theory (ISIT 2004), (Chicago, IL), Jun. 2004.
3. H. V. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1994.
4. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. NJ: Prentice Hall, 1993.