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Meteor trail interference of owe density suppression algorithm based on DWT-WF-CP in OTHR

机译:OTHR中基于DWT-WF-CP的流密度抑制流星干扰算法

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In general, meteor trail interference of owe density (MTIOD) can degrade target detection performance of over-thehorizon radar (OTHR). By exploiting MTIOD suppression algorithm based on dyadic wavelet transform (DWT), window function (WF) and CANDECOMP/PARAFAC (CP) decomposition, an effective approach is proposed to solve the problem. The position of MTIOD is calculated through utilizing DWT and WF. Therefore, with the data involved in the position, Hankel tensor of three orders is constituted. CP algorithm is applied to resolve the obtained Hankel tensor so as to attain the parameters of MTIOD. On the basis of these parameters, echo signal of MTIOD in time domain is generated. After excising MTIOD from echo data, echo signal without MTIOD is achieved. Compared with the existing MTIOD suppression methods, experimental results have demonstrated the effectiveness of the proposed method which not just improves computational accuracy of the position of MTIOD, but decreases remnant of MTIOD after interference suppression.
机译:通常,流密度的流星尾迹干扰(MTIOD)会降低超视距雷达(OTHR)的目标检测性能。通过利用基于二进小波变换(DWT),窗口函数(WF)和CANDECOMP / PARAFAC(CP)分解的MTIOD抑制算法,提出了一种有效的解决方案。 MTIOD的位置是通过DWT和WF计算得出的。因此,利用位置所涉及的数据,构成三个阶的汉克尔张量。应用CP算法对获得的汉克尔张量进行求解,以获得MTIOD的参数。基于这些参数,产生时域的MTIOD回波信号。从回波数据中切除MTIOD后,即可获得没有MTIOD的回波信号。与现有的MTIOD抑制方法相比,实验结果证明了该方法的有效性,不仅提高了MTIOD位置的计算精度,而且减少了干扰抑制后MTIOD的残留量。

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