基于粒子群的时频差协同无源定位技术研究

Research of passive location technique based on particle swarm algorithm in TDOA and FDOA

针对运动目标的定位问题,根据运动目标基于时差、频差的定位原理,提出了利用时频差相结合的无源定位技术,利用粒子群智能优化算法,同时求解出目标的位置、航向及频率信息。通过仿真实验结果证明,在长基线定位系统条件下,一次数据就能获取较高精度的目标位置及航向信息,可为运动目标的高效定位和跟踪提供良好的初始数值。

For location problem of moving target,the passive location method based on the location principle of moving target combining TDOA and FDOA was proposed.By PSO algorithm,the 3 D position with course and frequency information can be calculated at the same time with only one time measures data.The experiment results show that the proposed method can provide high accurate position,course and frequency information of the target.The prime results can be used as a better initial data in advance location system.