基于TDOA和SDOA的宽带辐射源双机无源定位算法

针对双无人机无源雷达对宽带辐射源目标的直接无源定位(DPD)初始值敏感，提出一种基于小生境拓扑结构改进矢量粒子群算法(NTVIPSO)的直接无源定位算法。本文算法将直接法和间接法结合起来，依靠间接法中尺度差参数构造约束条件，利用小生境矢量粒子群求解得到精确的位置。仿真结果表明本文粒子群算法优于矢量粒子群算法和邻域拓扑结构粒子群算法。提出的存在扰动情况下尺度差约束条件下的直接无源定算法精确度低于直接法，但优于间接法；计算复杂度低于直接法，大于间接法。

A passive location algorithm based on TDOA and SDOA for wideband radiation sources

Aiming at the sensitivity of dual-UAV passive radar to the initial value of Direct Position Determination(DPD) of broadband radiator targets, a direct passive location algorithm is proposed based on Niche Topology Improved Vector Particle Swarm Optimization(NTVIPSO). The proposed algorithm combines the direct method and the indirect method, relying on the indirect method to construct the constraint conditions, and using the niche vector particle swarm to solve the exact position. The simulation results show that the proposed particle swarm algorithm is superior to the vector particle swarm algorithm and the neighborhood topology particle swarm algorithm. The accuracy of the proposed direct passive determination algorithm under the constraint of scale difference in the presence of disturbance is lower than the direct method but better than the indirect method, and the computational complexity is lower than the direct method but higher than the indirect method.