基于粒子滤波算法的航迹误差分析

当前针对飞行预测的研究主要采用的是kalman算法,在解决非线性问题时存在着只能近似线性的而不够精确的问题.采用近年来受到广泛关注的粒子滤波算法,针对RNAV航路进行分析,结论中得到了对飞行误差仿真分析并对比了卡尔曼滤波仿真效果,证实了粒子滤波在航迹预测中更好的准确性.

Analysis of Track Error Based on Particle Filter

Kalman algorithm was used for flight track prediction in current research,the algorithm is not precise enough for it can only be applicable when problems are linear.This paper analysis RNAV routes with the particle filtering algorithm which received extensive attention in recent years.Conclusion analysis flight error and compare with Kalman filter with simulation results,confirmed the better way to predict track error is particle filter.