发明名称 |
SYSTEM AND METHOD FOR INTELLIGENT TUNING OF KALMAN FILTERS FOR INS/GPS NAVIGATION APPLICATIONS |
摘要 |
Disclosed is a reinforcement learning technique for online tuning of integration filters of navigation systems needing a priori tuning parameters, such as Kalman Filters and the like. The method includes receiving GNSS measurements from the GNSS unit of the navigation system; and IMU measurements from IMU of the navigation system. The method further includes providing a priori tuning parameters to tune the integration filter of the navigation system. The method further includes processing the GNSS and IMU measurements using the tuned integration filter to compute a position estimate and updating the a priori turning parameters based on the computer position estimate. |
申请公布号 |
CA2701529(A1) |
申请公布日期 |
2009.04.09 |
申请号 |
CA20082701529 |
申请日期 |
2008.10.06 |
申请人 |
TRUSTED POSITIONING INC. |
发明人 |
EL-SHEIMY, NASER;GOODALL, CHRIS |
分类号 |
G01C21/16;G01S19/48;G01C21/28;G01S5/14;G01S19/47 |
主分类号 |
G01C21/16 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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