...研讨了两种粒子滤波算法一采样主要性重采样算法(Sampling Importance Resampling)、无迹粒子滤波算法(Unscented Particle filter)和一种无迹卡尔曼滤波算法(Unscented Kalman Filter)，提出了应用毛病误报率和漏报率组成的均匀价值作为权衡诊断办法后果的评价目...
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最后，给出了扩展卡尔曼滤波算法、无迹卡尔曼滤波算法和粒子滤波算法的推导过程和仿真分析。
Finally, the computational procedures and simulation analysis of extended Kalman filtering algorithm, unscented Kalman filtering algorithm and particle filtering algorithm is presented.
本论文在均值偏移、粒子滤波、无迹粒子滤波及智能优化算法等方面进行了较为深入的研究，取得了一些有益的成果。
This dissertation makes deeply research on the Mean Shift, Particle Filter (PF), Unscented Particle Filter and intelligence optimization algorithm. And some beneficial results are obtained.
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