无源测向交叉定位的误差分析与校正

摘要

测向交叉定位在无源定位技术中应用广泛。在分析了多站交叉定位的系统误差与随机误差的基础上,将系统误差校正转换为非线性优化问题,并采用遗传算法寻优求解。将随机误差依据数据融合理论进行融合改进。仿真结果表明,误差配准与校正后的测向交叉定位精度有了较大的提高。%The direction finding cross localization is widely used in the passive location technique.The system and random errors of the multi-station cross localization are analyzed,on the basis of which the system error correction is transformed into a nonlinear optimization problem,and then optimized and calculated through the genetic algorithm.The random error is improved based on the theory of the data fusion.The simulation results show that the precision of the direction finding cross localization is remarkably improved after the error alignment and correction.