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给出了基于两步递推滤波的车辆自主式导航系统模型及其航位递推算法。
The model of vehicular autonomic navigation system and dead reckoning (DR) algorithm based on two-step recursive filtering are proposed in this paper.
为了提高数学模型的模拟精度，本文采用广义卡尔曼滤波技术进行递推滤波估计。
In this paper an extended Kalman-filtering was used to improve the precision of the simulation of mathematical model.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
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