基于网格搜索的被动单站旋转定位算法

Passive Single Station Rotation Location AlgorithmBased on Grid Search

摘要:

现有定位算法需要利用多维信息进行综合迭代及滤波计算,收敛时间通常比较长,且定位精度受多种因素影响。针对上述问题,提出了基于网格搜索的被动单站旋转定位算法。首先推导了被动旋转双天线相位差计算公式,说明了相位鉴别模糊产生机理;然后对目标所在水平面进行二维网格划分,利用真实目标方向照射的理论相位差与实际测量相位差之间存在整数倍相位模糊的特性,建立基于最小化模糊数的定位优化函数;最后采用“粗搜+精搜”的方式对优化函数进行二维峰值搜索,从而获得目标定位结果。仿真结果表明,该定位算法具备较强的单次定位能力、较高的定位精度、较宽的频段适应能力和较强的相位噪声适应能力。

Abstract:

The existing location algorithms need to use multi-dimensional information forcomprehensive iteration and filtering calculation. The convergence time is usually long, andthe positioning accuracy is affected by many factors. Aiming at the above problems, apassive single station rotation location algorithm based on grid search was proposed. Firstly,the phase difference calculation formula of passive rotating double antennas was deduced,and the mechanism of phase discrimination ambiguity was explained. Then, the horizontalplane of the target was divided into two-dimensional grids, and the positioning optimizationfunction based on the minimum ambiguity number was established by using the integermultiple phase ambiguity between the theoretical phase difference of the target illuminatedfrom the real target direction and the actual measured phase difference. Finally, the methodof “rough search and fine search” was used to search the optimization function for twodimensionalpeak value, so as to obtain the target location result. The simulation resultsshow that the algorithm has strong single location ability, high location accuracy, wide bandadaptability and strong phase noise adaptability.