Title :
EM-based distributed estimation in cluttered environment
Author :
Xu, Dianhui ; Yao, Yingwei
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL
Abstract :
We consider a one-dimensional target estimation problem in a cluttered environment. A distributed estimator based on expectation-maximization (EM) algorithm and uncoded analog transmissions is developed. Through this experiment, one can gain some insights into methodology in the design of distributed estimator in sensor networks. As shown in our simulation, the proposed algorithm achieves significant estimation performance gain over existing distributed estimators under a communication constraint. Modified Cramer-Rao bound is also derived to provide a performance benchmark.
Keywords :
expectation-maximisation algorithm; wireless sensor networks; Cramer-Rao bound; EM-based distributed estimation; analog transmissions; cluttered environment; communication constraint; expectation-maximization algorithm; one-dimensional target estimation problem; sensor networks; Atmospheric measurements; Clutter; Design methodology; Interference; Iterative algorithms; Maximum likelihood estimation; Performance gain; Random variables; Sensor fusion; Wireless sensor networks; Data Association; Distributed Estimation; Expectation Maximization; Modified Cramer-Rao Bound;
Conference_Titel :
Electro/Information Technology, 2008. EIT 2008. IEEE International Conference on
Conference_Location :
Ames, IA
Print_ISBN :
978-1-4244-2029-2
Electronic_ISBN :
978-1-4244-2030-8
DOI :
10.1109/EIT.2008.4554295
