基于热释电感知的分布式粒子群优化目标跟踪  

Distributed Particle Swarm Optimization Target Tracking Based on Pyroelectric Sensing

作　　者：王泽兵[1,2] 崔宝珍[1] 秦丽[2] 杨卫[2] 

机构地区：[1]中北大学先进制造技术山西省重点实验室,山西太原030051 [2]中北大学电子测试技术国家重点实验室,山西太原030051

出　　处：《激光与光电子学进展》2017年第10期80-86,共7页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(60871041);国家863计划(011AA040404)

摘　　要：通过热释电红外感知设备采集目标方向角序列,利用粒子群优化算法实现了非测距方案下的目标跟踪。当阵列布局较大时,采集方向角序列的长度增大,算法搜索空间的维数增大,跟踪精度降低。通过分割序列,采用分布式粒子群优化算法,综合多节点协同决策,实现了大规模阵列的红外目标实时跟踪定位,且能满足目标跟踪精度的要求。结果表明,该方法有效扩展了基本粒子群算法在热释电感知中的应用。The direction angle sequence of the target is collected by the pyroelectric infrared sensing equipment, ano the target tracking scheme without distance measuring is realized with the help of particle swarm optimization （PSO） algorithm. When the array layout is large, the collected length of direction angle sequence increases, the dimension of algorithm search space increases, and the tracking precision decreases. Through splitting sequence, the distributed particle swarm optimization algorithm （DPSO） integrated multi-node cooperative decision is used to realize the real-time target tracking in the large array of inftared detecting system. And the tracking accuracy meets the requirements. The experimental results show that the proposed method can effectively extend the application of the basic PSO algorithm in pyroeleetrie sensing.

关 键 词：测量 热释电红外感知 目标跟踪 分布式粒子群 目标实时跟踪 

分 类 号：TP221[自动化与计算机技术—检测技术与自动化装置]