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chan_taylor

于 2013-01-09 发布文件大小:1KB

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实现三维定位，利用chan算法与taylor算法想结合的方法，减小了定位误差(Three-dimensional positioning, would like to combine the use of the chan algorithms and taylor algorithm method to reduce the positioning error)

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chan_taylor.m,921,2013-01-09

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cacode
Hi I like to integrate GPS and INS using kalman filter to predict the position of a vehicle. first of all i like to use GPS sensor readings with kalman filter . I have read lot of research papers for that purpose but I donot know how to use real time data of GPS sensor in the kalman filter measurement equation. My question is that where i have to put the readings the gps sensor in measurement equation i.e where to put numerical values the sensor in the measurement equation.how these values make sense. zk=Hxk+wk also i like to ask as how can i determine the state transition matrix F and observation matrix H for a particular application. also how can i determine the measrement noise matrix the gps sensor. thanks and regards

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