机载合成孔径雷达低速运动目标检测和成像的一种新方法

DETECTION AND IMAGING OF SLOWLY MOVING TARGET OF AIRBORNE SYNTHETIC APERTURE RADAR BASED ON THE GMCWD-HOUGH TRANSFORM

本文分析了机载合成孔径雷达 (AirborneSAR)运动目标回波信号的特点 ,介绍了广义边缘CWD Hough变换。根据机载SAR动目标的回波模型 ,本文提出了一种基于广义边缘CWD Hough变换进行机载SAR低速运动目标检测及成像的新方法。该方法基于时间—频率联合分析法 ,利用其对低速运动目标参数的精确估计可以在较低的信杂比下实现低速目标的检测并对其成像 ,其检测性能大大优于常用的Wigner Ville分布方法。计算机仿真结果证明了该方法的有效性。

Features of airborne SAR moving target echoes were analysed and the generalized-marginal Choi-Williams distribution-Hough transform (GMCWD-HT) was introduced. According to the echo model of airborne SAR, a new method based on the generalized-marginal Choi-Williams distribution-Hough transform for detection and imaging the slowly moving targets of airborne SAR was proposed. Based on the joint time-frequency processing method, the new approach using the accurately estimated parameters of the slowly moving target can be realized to perform detection and imaging of the target of airborne SAR in the low signal to clutter ratio. Its detecting performance is better than the common method based on Wigner-Ville distribution. Computer simulation results prove the validity of the approach.