A Method to Detect Ocean Surface Current Based on X-Band Marine Radar
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摘要: 针对X波段导航雷达对海杂波的成像,研究了利用多谱勒频移和布拉格散射来探测海表面流的方法。提出了一种结合几何滤波模型的X波段雷达海流反演预处理算法,此算法不需要已知的最大海流流速进行带通滤波处理,结合线性波理论色散方程以及最小二乘算法,可以得到精确的海表面流速。与传统的X波段导航雷达测流方法相比,该算法简单高效,占用资源少,并且不仅适用于岸基X波段导航雷达,还适用于船载X波段导航雷达。与附近站点高频地波雷达表面流数据进行对比实验,二者结果的一致性表明了本文方法是可行的。Abstract: A detection method for ocean surface currents based on the Doppler shift and Bragg scattering for sea clutter imaging using X-band marine radar is addressed in this research. A preprocessing algorithm for current inversion combined with geometric filtering model is presented. Maximun current velocity is not required for band-pass filter processing，since accurate current velocity can be obtained only with liner wave theory dispersion equation and a least-squares algorithm. As compared with the conventional flow detection method using X-band navigation radar，this new algorithm is simple and efficient.It uses resources effectively,and can be applied to both shore-based X-band and shipborne X-band navigation radar. A validation comparison with sea surface current data from a near-by HFUWR shows that this algorithm effectively improves the accuracy and stability of the radar.
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期刊类型引用(2)
1. 李钦，游雄，李科，汤奋，王玮琦. 局部物体块匹配的图像匹配算法. 武汉大学学报(信息科学版). 2022(03): 419-427 . 
百度学术
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