雷达高度表最小均方误差拟合高度估计算法研究

Research on Minimum Mean Square Error Fitting Height Estimation Algorithm for Radar Altimeter

针对采用波门分裂法和半功率点法的传统雷达高度表,受噪声和地面各散射单元散射起伏的影响较大,进而影响高度估计的精度问题。文中提出了采用最小均方误差拟合高度估计算法,该算法基于地面回波解析模型,充分利用地面回波能量进行最小均方误差拟合高度估计,从而提高高度估计精度。仿真结果表明,在不同高度上,最小均方误差的精度均优于波门分裂法和半功率点法,降低了噪声和地面散射起伏对高度估计精度的影响。

The traditional radar altimeter based on wave gate splitting method and half-power point method was greatly affected by noise and scattering fluctuation of ground scattering units, thus affecting the accuracy of height estimation. In this paper, the minimum mean square error fitting height estimation algorithm was proposed. The algorithm was based on the analytic model of ground echo, which made full use of the ground echo energy, so as to improve the accuracy of height estimation. The simulation results showed that the accuracy of the minimum mean square error was better than that of wave gate splitting method and the half power point method at different heights, and the influence of noise and ground scattering fluctuation on the accuracy of height estimation was reduced.