合成孔径雷达景象匹配中制导导弹定位

研究了合成孔径雷达景象匹配中制导中的导弹定位问题。部分孔径成像是景象匹配中制导合成孔径雷达有效的成像模式，为便于利用多匹配点定位，提出了聚焦多普勒波束锐化成像方法。建立了基于匹配点距离差和多普勒差，并考虑了高度、速度和匹配点位置测量误差的定位模型。推导了位置估计的克拉美-罗下限（Cramer-Rao lower bound, CRLB）。提出了一种基于最小二乘的闭式求解算法。理论分析表明，在一定近似条件下，这一算法的估计精度到达CRLB。仿真分析了各种误差因素对CRLB的影响，验证了算法的理论分析结果及其有效性。

Missile location for synthetic aperture radar scene matching midcourse guidance

The missile location using synthetic aperture radar (SAR) for scene matching midcourse guidance is studied. Partial aperture imaging is an effective imaging mode of SAR for scene matching midcourse guidance. A focused Doppler beam sharpening imaging method is proposed for the convenience of multi-matched point location. A missile location model is established based on range differences and Doppler differences of matched points, which also takes the errors of altitude, velocity and targets position into account. The Cramer Rao lower bound (CRLB) is derived for the location model. A closed-form solution algorithm is proposed that employs the weighted least square minimization only and is not iterative. It is shown analytically, under some approximations, to achieve the CRLB accuracy. The error’s effect on the CRLB is analyzed by simulations, and simulations also corroborate the theoretical results and the good performance of the algorithm.