| Citation: | Jingqi HUANG, Chen HU, Shanpeng SUN, Xiang GAO, Bing HE. A Distributed Space Target Tracking Algorithm Based on Asynchronous Multi-sensor Networks[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1132-1139. doi: 10.11999/JEIT190460
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To solve the problem of asynchronous sampling and communication delay of sensor network in space target tracking, an Asynchronous Distributed algorithm based on Information Filtering (ADIF) is proposed. First, local state information and measurement information with sampling time is transmitted between local sensor and adjacent nodes in a certain topology structure. Then, the local sensor sorts the received asynchronous information by time, and ADIF algorithm is used to calculate the target state respectively. This method is simple to implement, the frequency of communication between sensors is small, and it supports the real-time change of network topology, which is suitable for multi-target tracking. In this paper, single target and multi-target tracking are simulated respectively. The results show that the algorithm can effectively solve the problem of asynchronous sensor filtering, and the distributed filtering accuracy converges to the centralized result.
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