针对多台弹道相机使用前方交会方法进行地面附近同时多炸点目标测量时出现大量假目标问题,本文提出剔除共面多目标交会产生的假目标方法和提高测量精度的偏最小二乘多元回归分析方法。该方法根据多台测量分站交会点共面差,剔除交会产生的假目标;将属于该目标的多个测量数据,采用偏最小二乘多元回归分析方法,求出目标点在大地坐标系的最佳估计值。实际数据结果表明,该方法有效地识别20个以上同时爆炸的共面目标,与两站交会方法相比,偏最小二乘方法减小测量误差6″以上。

To delete false intersection results produced by multiple trajectory cameras when they measure the multiple near ground coplanar targets with basic intersection method, a method for deleting false targets and improving the intersection accuracy with partial least squares multiple factors regression analysis is presented. Based on the distance between the multiple intersection results, the false targets can be recognized. The best estimation data of target on earth coordinates can be computed with the Partial Least Squares (PLS) multiple factors regression analysis method. Actual test results show that the method can recognize more than 20 coplanar targets which are near ground, and compared with two station intersection methods, PLS reduces measurement error more than 6″.