关键词: 弹载合成孔径雷达, 高斯牛顿-遗传混合算法, 多特征点, 定位

Abstract:

 During the final guidance stage, the position deviation of the missile flight trajectory is often corrected by scene matching technology, but traditional positioning methods based on Doppler information are sensitive to errors, which can not satisfy the requirement of accurate navigation. To solve  this problem, a new method for missile positioning is proposed. First, the location information on multi-feature points in the missile-borne SAR image after scene matching is obtained by building a positioning geometric model of the arbitrary point as the image coordinate system origin. Then the nonlinear equations are constructed by corresponding slant range information. The actual position of the missile is calculated by the Gaussian Newton-genetic hybrid algorithm, so that the trajectory deviation is corrected accurately.

Key words: missile-borne synthetic aperture radar, Gaussian Newton-genetic hybrid algorithm, multi-feature points, positioning