CAJ | 학술논문

针对现有重力导航匹配算法受测量误差和非测量误差影响匹配精度、匹配率较低而导致实践应用困难的不足，通过理论分析算法误差源，提出了一种自适应介入匹配算法。该算法通过判断等值点的特征空间特性以及最近距离和阀值的关系，对惯导位置参数进行自适应修正，极大提高了算法匹配率、搜索效率、实时性的效果。仿真实验结果表明，经自适应处理，可使算法最优匹配率达到89.6%，定位误差保持在500~700 m，重力图分辨率(1')降至25%左右。
침대현유중력도항필배산법수측량오차화비측량오차영향필배정도、필배솔교저이도치실천응용곤난적불족，통과이론분석산법오차원，제출료일충자괄응개입필배산법。해산법통과판단등치점적특정공간특성이급최근거리화벌치적관계，대관도위치삼수진행자괄응수정，겁대제고료산법필배솔、수색효솔、실시성적효과。방진실험결과표명，경자괄응처리，가사산법최우필배솔체도89.6%，정위오차보지재500~700 m，중력도분변솔(1')강지25%좌우。
Traditional gravity aided matching algorithms are difficult to apply since its matching precision and matching proportion are too low due to being influenced by measurement and no-measurement errors. To solve this problem, an adaptive intervention matching algorithm is proposed by theoretically analyzing its error source. By adjusting the features space of equal point and the relationship between threshold value and closest range, the algorithm can adaptively correct INS position parameters, which greatly improves the searching efficiency, matching probability and real-time calculation speed. Simulation experiment results show that, after processing by this adaptation procedure, the optimal matching probability is increased to 89.6%, the positioning accuracy error is within 500~700 m, and the gravity map resolution (1') is reduced by 75%.