Location of first-order sea echo for HFSWR with image feature information

Yang Li, Qiang Yang, Ning Zhang
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Abstract

Influenced by ships, ionosphere interference and Bragg peak-splitting, it will be difficult of detecting or tracking HF first-order sea echo (Bragg peak) exactly. A new detection method is proposed which regards image feature of Bragg peaks in multi-scale space as indicative information and combines with global characteristics such as amplitude, symmetry, and continuity etc. Detection rules for both single and splitting Bragg peaks are also given based on characteristics knowledge. Experiment with real data shows that comparing to those classical algorithms the proposed method can detect and locate first-order sea echo more accurately in the environment with ionosphere interference, ships and clutter/noise smearing far from coast.
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基于图像特征信息的HFSWR一阶海回波定位
由于船舶、电离层干扰和布拉格峰分裂等因素的影响,高频一阶海回波(布拉格峰)的准确探测和跟踪存在一定的困难。提出了一种以多尺度空间中的Bragg峰图像特征为指示性信息,结合其幅值、对称性、连续性等全局特征的检测方法。给出了基于特征知识的单布拉格峰和分裂布拉格峰的检测规则。实际数据实验表明,与经典算法相比,该方法可以在远离海岸的电离层干扰、船舶和杂波/噪声干扰环境中更准确地检测和定位一阶海回波。
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