《Table 3 Time and RMSE means of MCKF and CKF》
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《Marginalized cubature Kalman filtering algorithm based on linear/nonlinear mixed-Gaussian model》
Fig.2 shows RMSE comparison of MCKF and other three algorithms.In MCKF,velocity is modeled separately to construct measurement to provide the innovation in update process.At the same time,MCKF has higher precision compared with CKF in linear estimation process.It can be verified by the real-time RMSE in Fig.1 and RMSE means values in Table 3,MCKF is superior to the other three algorithms in estimation accuracy.
图表编号 | XD0020605800 严禁用于非法目的 |
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绘制时间 | 2018.12.01 |
作者 | 胡玉梅、Hu Zhentao、Jin Yong |
绘制单位 | School of Automation,Northwestern Polytechnical University、College of Computer and Information Engineering,Henan University、College of Computer and Information Engineering,Henan University |
更多格式 | 高清、无水印(增值服务) |