基于量测一致性的分布式多传感器多目标跟踪算法

Distributed Multi-Sensor Multi-Target Tracking Algorithm Based on Measurement Consistency

针对无线传感器网络跟踪多目标过程中传感器能搭载的计算负荷有限,不宜采用复杂算法实现数据处理的问题,提出了一种基于量测一致性的分布式多传感器多目标跟踪算法。算法采用计算相对简易的最近邻域法处理多目标跟踪中的数据互联问题,针对最近邻域法容易受杂波干扰的情况,通过量测的平均一致性迭代来改进算法的性能。仿真结果证明,算法具备有效抑制因误判产生的错误量测对跟踪过程干扰的性能,实现了良好的传感器网络跟踪精度和估计信息一致性。

A distributed multi-sensor multi-target tracking algorithm based on measurement consistency was proposed to solve the problem of data processing in wireless sensor network tracking with limited computational load. The algorithm used a relatively simple nearest neighborhood method to deal with the data interconnection problem in multi-target tracking. Then, aiming at the recent neighborhood method was vulnerable to clutter interference, the performance of the algorithm was improved by measuring the average consistency iteration. The simulation results show that the algorithm has the ability to effectively suppress the disturbance of the error measurement pair tracking process due to misjudgment, and achieve good tracking accuracy and information consistency of the sensor network.