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结合时频分析和图像处理技术提出了一种新的变换——RST(Radon-S-method变换),并基于此变换提出了一种高频雷达机动目标检测算法.本算法先将时频图像经过边缘检测处理以减弱海杂波对目标信号的压制,采用角度和幅度双门限检测来抑制海杂波一阶峰和零频干扰以提高目标的检测概率.通过对实测数据进行算法性能测试,并与Radon-Wigner变换进行了对比,检测结果表明检测出来的目标速度和加速度的相对误差都在3%以内,证明了该算法可行、有效和实用.
A new transform, RST (Radon-S-method transform), is proposed based on time-frequency analysis and image processing technology. Based on this transform, a high-frequency radar maneuvering target detection algorithm is proposed. After edge detection to reduce the suppression of the target signal by the sea clutter, the double-threshold detection of angle and amplitude is adopted to suppress the first-order peak and zero-frequency interference of sea clutter to improve the detection probability of the target.According to the measured performance of the measured data, Compared with the Radon-Wigner transform, the results show that the relative errors of the target velocity and the acceleration detected are within 3%, which proves the algorithm is feasible, effective and practical.