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Target tracking is a critical wireless sensor application, which involves signal and information processing technologies. In conventional target position estimation methods, an estimate is usually demonstrated by an average target position. In contrast, this work proposes a distributed information compression method to describe the measurement uncertainty of tracking problems in cluster-based wireless sensor networks. The leader-based information processing scheme is applied to perform targetdoi:10.3390/s16060937 pmid:27338417 pmcid:PMC4934362 fatcat:y3jdh4mkyndb3ozfjcp5vrpm3e