为了改善景像匹配导航系统的可靠性及匹配精度, 提出了一种基于位置差分滤波与最小二乘估计的动态景像匹配定位融合算法。分析了动态景像匹配导航定位融合的基本问题;针对匹配位置序列的误差特性, 设计了位置差分滤波方法, 用于剔除匹配位置序列中的误匹配点;采用最小二乘估计对匹配位置序列进行最优参数估计, 进而对误匹配点进行估计并实现了匹配位置预测;给出了定位融合算法的基本原理及实现框图。仿真实验结果验证了该算法在消除误匹配点及减小随机匹配误差干扰方面的有效性、实用性。

In order to improve the reliability and matching precision of scene matching navigation system, a novel fusion algorithm is proposed based on Position Difference Filtering (PDF) and Least Squares Estimate (LSE) for dynamic scene matching. The essence of the matching results fusion problems for aircraft dynamic scene matching navigation system is analyzed. Then, according to the error characteristic of matching position point sequence, PDF method is designed to filtering the mismatching points, and LSE method is used for optimum parameter estimation, thus the mismatching points are estimated and the matching position are predicted. Furthermore, the principle and flowchart of the fusion algorithm are given. Simulation experimental results show the feasibility and availability of the proposed algorithm in eliminating the mismatching points and random matching disturbance for dynamic scene matching navigation system.