基于TDOA的无人机集群协同单目标定位

TDOA-based cooperative single target location using UAV cluster

无源定位作为现代信息化战场中电子侦察的重要技术,可以在自身不辐射电磁波的情况下实现对敌方目标的精确定位。以高灵活性、高安全性的无人机(unmanned aerial vehicle,UAV)集群为接收站,研究基于到达时差测量的辐射源定位方法。作为高机动平台,UAV集群的位置误差更大,基于该情况对Chan算法、Taylor算法进行改进,并提出了一种粒子群泰勒协同的解算方法。与其他方法的定位结果进行对比,仿真结果表明所提的方法定位精度接近克拉美罗下界(Cramer-Rao lower bound,CRLB),解决了Taylor算法的初值问题。

As an important technology of electronic reconnaissance in modern information battlefield,passive positioning technology can achieve accurate localization without emitting radio waves.Taking the unmanned aerial vehicle(UAV)cluster with high flexibility and security as receivers,this paper studies the localization method of emitter target based on time difference of arrival(TDOA)measurement.As a high maneuvering platform,UAV cluster has higher station location error,the improved algorithms of Chan algorithm and Taylor algorithm are simulated under this situation,and a new algorithm based on Taylor particle swarm cooperation is also proposed.Compared with other methods,the simulation results show that the positioning accuracy of the proposed method is close to the Cramer-Rao lower bound(CRLB),and solves the initial value problem of Taylor algorithm.