<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[red_awn的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/red_awn</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; red_awn]]></copyright><item><title><![CDATA[两类惯导误差模型（PHI or PSI）（译文）]]></title><link>https://blog.youkuaiyun.com/red_awn/article/details/121394481</link><guid>https://blog.youkuaiyun.com/red_awn/article/details/121394481</guid><author>red_awn</author><pubDate>Thu, 18 Nov 2021 10:54:39 +0800</pubDate><description><![CDATA[PHI or PSI: 2 flavours of error propagation models

In order to be able to write a Kalman filter for your INS, you have to derive a linear error propagation model for your navigation system. In the existing literature, such error propagation models are b..]]></description><category></category></item><item><title><![CDATA[版本以及最新的版本号]]></title><link>https://blog.youkuaiyun.com/red_awn/article/details/109337667</link><guid>https://blog.youkuaiyun.com/red_awn/article/details/109337667</guid><author>red_awn</author><pubDate>Wed, 28 Oct 2020 17:07:56 +0800</pubDate><description><![CDATA[------------------------------------------------------------------------------------------------------------------------------------------

main_independence

% 1009：轨迹按照跑车，晃动基座对准
% 1020: avp=avp_main; 跑了理想数据
% 1022 ：生成的数据中加入了航向角判断和北偏西为正
% 1024 ：real 使用了加噪]]></description><category></category></item></channel></rss>