Title :
Hybrid maximum a posteriori estimation under communication constraints
Author :
Nerurkar, Esha D. ; Roumeliotis, Stergios I.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
We consider the problem of joint-state estimation for mobile wireless sensor networks (WSN) using noisy analog observations from spatially-distributed sensors. Due to communication bandwidth constraints, sensors can transmit only quantized observations. As opposed to existing estimators that process either only quantized or only analog observations, we develop a Maximum A Posteriori-based hybrid estimation framework that enables each sensor to utilize its own local analog observations as well as quantized observations received from other sensors to improve estimation accuracy.
Keywords :
maximum likelihood estimation; mobile radio; wireless sensor networks; WSN; communication bandwidth constraints; estimation accuracy improvement; joint-state estimation; local analog observations; maximum a posteriori-based hybrid estimation framework; mobile wireless sensor networks; noisy analog observations; quantized observations; spatially-distributed sensors; Estimation; Mathematical model; Noise measurement; Quantization (signal); Sensors; Technological innovation; Wireless sensor networks; Distributed MAP estimation; communication constraints; wireless sensor network;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638592