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Joint decoding and data fusion in wireless sensor networks using turbo codes
2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications
We consider the problem of joint decoding and datafusion in data gathering sensor networks modeled by the Chief Executive Officer (CEO) problem. Correlation between sensors' data is known at the fusion center and is employed to update extrinsic information received from soft-in soft-out (SISO) decoders. It is shown in the literature that this scheme has a lower bit error rate compared with the schemes that separately decode data received from each sensor and then estimate the value of thedoi:10.1109/pimrc.2008.4699729 dblp:conf/pimrc/HaghighatBP08 fatcat:gfyybgl46nfo7e3hp4dzdc7qse