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dec_kalman1
- Matlab code for a decentralized Kalman filter as presented by: B.S. Rao, H.F. Durrant-Whyte,” Fully decentralised algorithm for multisensor Kalman filtering”
2010041245
- 上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.-Abstract: A new particle
Data-Fusion-Approach-for-Altitude-Location-Error.
- Altitude location for UAV by using federated filter is discussed, the fourth structure is selected, because its two sub-filters involving altitude sensor and the difference Global Positioning System (d-GPS) respectively are fully isolated from
API快速传递对准的联邦滤波器设计_英文_
- API快速传递对准的联邦滤波器设计。对Kalman设计者很有帮助。(Design of federated filter for API rapid transfer alignment.)
基于联邦滤波器的新型故障检测结构及算法
- 基于联邦滤波器的新型故障检测结构及算法，一种新型Kalman算法。(A new structure and algorithm of fault detection based on federated filter, a new Kalman algorithm.)
example3_7 粒子滤波与扩展卡尔曼滤波对比
- 用于进行粒子滤波和联合卡尔曼滤波进行对比(For particle filter and federated Kalman filter comparison)