【摘要】 基于SAR成像中散射点模型的参数估计 ,提出了一种适用于经过距离走动校正之后 ,在方位向上仍存在两次及两次以上相位误差的动目标的自聚焦算法。该方法在方位数据域上结合离散多项式相位变换 (DPT)方法和最小二乘估计法估计相位误差 ,用CLEAN算法估计散射点参数 ,并通过交替迭代运算 ,可以较少的距离单元实现较为精确的误差补偿 ,因而运算量小。经过实测数据验证 ,该算法获得了理想的自聚焦。更多还原

【Abstract】 Based on the parameters estimation of SAR scene’s s ca tterers, a new autofocus algorithm is proposed for moving targets, which have no range alignment but exist nearly two orders of polynomial phase errors in azimu th. This approach calculates the phase errors by the discrete polynomial-phase transform(DPT) and the weighted least-square method, estimates the scatterers parameters by CLEAN, and completes the two steps with alternate iteration to co mpensate exactly the phase errors through less range cells and less computation. The real data prove that this algorithm is very efficient.更多还原