【摘要】 针对地面机动目标运动模式未知、无源跟踪缺乏距离量测信息导致传统射击诸元解算方法解命中精度下降的问题，提出一种基于纯角度测量的行进间地面机动目标射击诸元解算方法。在传统固定参数的当前统计(CS)模型基础上，利用模糊推理动态调整机动频率，并根据加速度历史估计信息设置机动加速度方差，提高目标方位角的估计精度；在一次测距的基础上，基于简化刚体弹道模型，利用割弦迭代法计算出命中点坐标，并在每次迭代中利用虚拟脱靶量对射击诸元进行修正，减少对弹道方程的计算次数，提高射击诸元解算的实时性和精度。仿真结果表明，该方法有效可行，基于模型参数自适应的CS模型提高了目标角度跟踪的精度，基于虚拟脱靶量的迭代修正算法提高了诸元解算的实时性，解命中精度相对于传统射击诸元解算方法得到了显著改善。更多还原

【Abstract】 Aiming at the problem of unknown ground maneuvering target motion mode and lack of distance measurement information in passive tracking, which leads to the decrease in accuracy of traditional firing data calculation methods, moving ground maneuvering targets firing data calculation method based on pure angle measurement is proposed. Firstly, based on the traditional fixed parameter current statistical(CS)model, fuzzy inference is used to dynamically adjust the maneuvering frequency, and the maneuvering acceleration variance is set according to the historical estimation information of acceleration, improving the estimation accuracy of target azimuth angle. Then, based on a simplified rigid body trajectory model, the coordinates of the hit point are calculated using the chord cutting iteration method on the basis of one-time ranging. In each iteration, the firing data is corrected using the virtual miss distance, reducing the number of calculations for the trajectory equation and improving the real-time and accuracy of the firing data solution. The simulation results show that the method is effective and feasible. The CS model based on model parameter adaptation improves the accuracy of target angle tracking, and the iterative correction algorithm based on virtual miss distance improves the real-time performance of data calculation. The accuracy of hit solution is significantly improved compared with traditional firing data calculation methods.更多还原