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Target tracking in a wireless sensor network (WSN) has become a relatively standard problem. In an asynchronous WSN, combined estimation of the target state and static clock offsets is necessary as the local clocks of the sensors are misaligned and the corresponding offsets are unknown. In this paper, a new tracking algorithm based on density assisted particle filtering (DAPF) and a sliding window...