ppp卡尔曼滤波参数估计
时间: 2023-08-12 11:09:43 浏览: 75
根据提供的引用内容来看,没有提到"ppp卡尔曼滤波参数估计"这个特定的问题。然而,从引用中可以得出一些关于卡尔曼滤波参数调优的一般信息。调参技巧包括调整协方差矩阵P的初始值、过程的协方差矩阵Q和测量的协方差矩阵R。首先,调整测量的协方差矩阵R,其数值越小代表测量精度越高。其次,调整协方差矩阵P的初始值。最后,调整过程的协方差矩阵Q。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [扩展卡尔曼滤波算法——基本原理及举例(python实现radar数据滤波)](https://blog.csdn.net/Williamcsj/article/details/125087613)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [卡尔曼滤波算法——基本原理及举例(python实现radar数据滤波)](https://blog.csdn.net/Williamcsj/article/details/125085163)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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