A Fusion Algorithm Based on Position Difference Filtering and Least Squares Estimate for Dynamic Scene Matching

Abstract

For scene matching navigation system, a new fusion algorithm based on Position Difference Filtering (PDF) and Least Squares Estimate (LSE) for dynamic scene matching is proposed to enhance the reliability and matching precision. After the matching results fusion problems for aircraft dynamic scene matching navigation system being analyzed, PDF method is presented to filter the mismatching points and LSE method is adopted to optimum parameter estimation according to the error characteristic of matching position point sequence, then the mismatching points are estimated and the matching position are predicted. It can be seen from the simulation experimental results that the proposed algorithm is feasible and available to eliminate random matching disturbance and the mismatching points for dynamic scene matching navigation system.