Probability-Dependent Gain-Scheduled Filtering for Stochastic Systems With Missing Measurements

High-precision inter-satellite real-time relative positioning is a key technique used in satellite formation flying. An adaptive UKF method is proposed for a scenario of double-satellite formation to determinate the inter-satellite relative position based on the measurements of dual-frequency P-code and dual-frequency carrier phase of GPS and inter-satellite distance. Simulation results show that the new method may improve the filtering stability and the estimation precision of relative position

小秋SLAM笔记

地形辅助定位TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.pdf

Pedestrian detection is a fundamental problem in video surveillance. An overwhelming majority of existing detection methods are based on sliding windows with exhaustive multi-scale scanning over the whole frame images which can achieve good accuracy but suffer from expensive computational cost. To reduce the complexity significantly while keeping high accuracy, in this paper, we propose an effective and efficient pedestrian detection method based on sliding windows with well-designed multi-scale

Ensemble_Kalman_filtering 集合卡尔曼滤波，作者：P. L. Houtekamer Herschel L. Mitchell 集合卡尔曼滤波器是一种递归滤波器，适用于具有大量变量的问题

optimal filtering英文版书籍，内容和概念讲解详细。

Fundamentals of Kalman Filtering A Practical Approach Third Edition.pdf 是我从网上找的一本关于卡尔曼滤波的教材

控制理论和最优滤波器设计的经典教材，有很强的专业性，适合控制理论和信号处理方面的进阶。

大牛Anderson的经典书籍，不容错过