基于离线卡尔曼的目标高度估计算法研究

Research on target height estimation algorithm based on off-line Kalman filter

基于雷达目标大地高度估算方法,针对等效地球半径近似法、地理坐标迭代法和地理坐标转换法进行了定性和定量分析。在综合考量惯性滤波、卡尔曼滤波和离线卡尔曼滤波等算法的实时性和平滑效果的基础上,设计并实现了一种基于离线卡尔曼滤波的地理坐标转换算法来估计雷达目标大地高度,并通过仿真试验验证了算法的有效性和实时性。

Based on the study of radar target geodetic height estimation methods, the equivalent earth radius approximate method, the geographic coordinate iterative method, and the geographic coordinate transformation method are analyzed qualitatively and quantitatively. Moreover, on the basis of considering the real-time performance and smoothing effect of the inertial filter, Kalman filter and off-line Kalman filter, a geographic coordinate transformation algorithm based on the off-line Kalman filter is designed and implemented to estimate the target geodetic height. The effectiveness and real-time performance of the algorithm are verified via the simulation test.