基于不确定观测值滤波的WSN目标跟踪仿真试验

Zhiyu Gao, Hong-Wen Yu
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引用次数: 0

摘要

针对利用目标跟踪方法解决WSN中数据丢包问题,分析了几种用不确定观测滤波可以实现的数学模型和算法,从而建立了基于卡尔曼滤波框架的WSN目标跟踪滤波仿真模型,并利用该算法进行了仿真测试。仿真结果表明,不同模型下不确定观测滤波方法的滤波效果不同,多步丢包模型应用于WSN中运动目标跟踪具有优异的跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Test of Filtering with Uncertain Observations for Target Tracking in WSN
Aimed at solving the data packet loss problems using target tracking methods in WSN, analyzs several mathematical model and algorithm with uncertain observation filter can achieve it Based on Kalman filter framework, thus establish WSN target tracking filter simulation model, and use the algorithm simulation test was carried out. Simulation results show that the different model under uncertain observation filtering method of filtering effect is different, multi-step packet loss model applied to moving target tracking in WSN has excellent tracking performance.
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