基于分段线性拟合的测向精度优化方法

Direction Finding Accuracy Optimization Method Based on Piecewise Linear Fitting

本文提出了一种基于分段线性拟合的测向精度优化方法。该方法利用分段线性拟合的思想,将连续测向过程分割成若干个区间,并分别选取合适的补偿系数进行该区间的线性斜率补偿,以达到提高测向精度的目的。该方法可以尽可能地减小由于系统误差等引入的一些不可避免的固定偏差对真实测向的影响。该方法可以有效地应用在被动雷达导引头测向中。

This paper proposes a method based on piecewise linear fitting to optimize the direction finding accuracy. The method uses the idea ofpiecewise linear fitting to divide the continuous direction finding process into several intervals, and selects the appropriate compensation coefficient tocompensate the linear slope of the interval, so as to improve the direction finding accuracy. This method can reduce the influence of some unavoidablefixed deviations introduced by systematic errors and the like on the true direction finding as much as possible. This method can be effectively applied tothe direction finding of passive radar seekers.