基于运动参数估计的ISAR成像算法研究

摘要

In inverse synthetic aperture radar （ISAR） imaging algorithm, the motion parameter compensation of targets has great influenced on the imaging quality. This paper studies the ISAR imaging algorithm of linearly modulated frequency stepped （LMFS） signal,and performs the crude estimation to the velocity and acceleration of targets by means of quality center of gravity method, performs the modification to the motion parameter by means of Doppler method and least entropy method, fetches more accelerate velocity and acceleration, and compensates the echo envelop, finally realizes the ISAR imaging.%在逆合成孔径雷达（ISAR）成像算法中，目标的运动参数补偿对成像质量有很大影响。针对线性调频步进信号的ISAR成像算法进行研究，通过质量重心法对目标的速度和加速度进行粗估计，用多普勒法和最小熵法对运动参数进行修正，得到更精确的速度和加速度，并对回波包络进行补偿，最终实现ISAR成像。