Mathematical Problems in Engineering
Volume 3 (1996), Issue 1, Pages 27-52

Multisensor estimation: New distributed algorithms

K. N. Plataniotis1 and D. G. Lainiotis2

1Digital Signal/Image Processing Laboratory, Department of Electrical and Computer Engineering, University of Toronto, 10 King's College-Road, Toronto, Ontario M5S 1A4, Canada
2Intelligent Systems Technology, 3207 S. Hwy. A1A, Melbourne Beach, FL 32951, USA

Received 15 January 1996; Revised 18 March 1996

Copyright © 1996 K. N. Plataniotis and D. G. Lainiotis. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The multisensor estimation problem is considered in this paper. New distributed algorithms, which are able to locally process the information and which deliver identical results to those generated by their centralized counterparts are presented. The algorithms can be used to provide robust and computationally efficient solutions to the multisensor estimation problem. The proposed distributed algorithms are theoretically interesting and computationally attractive.