面向井下改进分布式粒子滤波跟踪算法研究

Research on Improved Distributed Particle Filter Tracking Algorithm for Coal Mine

基于煤矿井下复杂环境,无线传感器网络节点能量有限且易于布放的特点,提出了一种面向煤矿井下改进分布式粒子滤波目标跟踪算法。在动态分簇的基础上利用粒子滤波对目标跟踪。仿真结果表明,与传统分簇算法比较,改进算法可以降低节点的冗余度,降低能耗。同时将改进分簇算法与粒子滤波跟踪算法结合,集中了2种算法的优点,在保证跟踪精度的前提下延长网络的生存周期,且满足煤矿井下的目标跟踪要求。

Based on the complex environment of coal mine and the limited energy and easy layout of wireless sensor network nodes, an improved distributed particle filter target tracking algorithm for coal mine is proposed. On the basis of dynamic clustering, particle tracking is used to track the target. The simulation results show that compared with the traditional clustering algorithm, the improved algorithm can reduce the redundancy of nodes and reduce the energy consumption. At the same time, the improved clustering algorithm is combined with the particle filter tracking algorithm, which concentrates the advantages of the two algorithms, and extends the life cycle of the network under the premise of ensuring the tracking precision and satisfies the target tracking requirement under the coal mine.