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Iterative joint decoding for sensor networks with binary CEO model
2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications
An iterative joint decoding algorithm for data gathering wireless sensor networks is proposed in  where the correlation between sensors' data is considered as a global code and iterative decoding is performed by concatenating the global decoder with the decoder of error correcting code applied to encode sensors observations. We apply this algorithm for sensor networks with binary CEO model where sensors observe different noisy versions of a single source, located away from sensors. Thisdoi:10.1109/spawc.2008.4641566 fatcat:kyynpk3yffdglj5wc5tvc6zcii