【摘要】 针对接近异面非合作目标过程中的目标定位问题，提出了一种基于双视线协同仅测角的目标定位算法，并通过优化接近构型来提高目标定位的精度。提出了一种仅利用视线测量的双星协同定位方案，并设计了基于扩展卡尔曼滤波器的目标定位算法；通过引入正态分布交叉算子、可变变异分布指数和模拟灾变3种方式，改进了NSGA-Ⅱ算法，并将其用于接近构型的优化；数值仿真结果表明，提出的算法克服了传统算法易陷入局部收敛和收敛速度慢的问题，且经过构型优化后，目标定位的精度得到了提高。更多还原

【Abstract】 Aiming at the problem of target location in the process of approaching non-cooperative targets, a target location algorithm based on double-line-of-sight cooperative angle-only measurement is proposed, and the accuracy of target location can be improved by optimizing the proximity configuration. Firstly, a two-spacecraft cooperative location scheme using only line-of-sight measurement is proposed, and a target location algorithm based on extended Kalman filter is designed. Then, by introducing normal distribution crossover operator, variable mutation distribution index and simulated catastrophe, the NSGA-Ⅱ algorithm is improved and applied to the optimization of proximity configuration. Finally, the numerical simulation results show that the proposed algorithm overcomes the problems of local convergence and slow convergence of the traditional algorithms, and the accuracy of target location is improved after configuration optimization.更多还原