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首页> 外文期刊>EURASIP journal on advances in signal processing >Ionospheric decontamination for skywave OTH radar based on complex energy detector
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Ionospheric decontamination for skywave OTH radar based on complex energy detector

机译:基于复杂能量检测器的天波超高频雷达的电离层去污

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For over-the-horizon (OTH) radar, the ocean clutter is very strong. And this becomes a big challenge for the target detection. The clutter suppression is a very important procedure for the OTH radar. For the skywave OTH radar, the radar signal will propagate through the ionosphere. This will cause a contamination due to its unstable movement. Then the Bragg frequencies will be smeared and clutter spectrum will spread wider rather than a single line spectra. This smear will cause the target more difficult to be detected and even buried in clutter. Compensation is necessary to cancel the ionospheric effect. This article proposes the clutter decontamination algorithm based on the complex energy detector (CED). The energy detector (ED) is originally proposed to demodulate the real AM–FM signals. The ED is expanded to complex domain. After the expansion, there is no mutual coupling between the amplitude and frequency component for an AM–FM signal. The phase of the Bragg clutter return contaminated by the ionosphere is modeled by a frequency-modulated signal, while its magnitude is amplitude modulated. The CED algorithm is applied to track the instantaneous frequency of the contaminated return signal, which is then used for compensation. Simulation results are presented. The simulation results show that, comparing with the Hankel rank reduction algorithm, the proposed algorithm has better performance under the situation of large frequency fluctuation.
机译:对于超视距(OTH)雷达,海洋杂波非常强。这成为目标检测的一大挑战。对于OTH雷达,杂波抑制是非常重要的过程。对于天波OTH雷达,雷达信号将通过电离层传播。由于其不稳定的运动,这将导致污染。然后,布拉格频率将被拖尾,杂波频谱将散布开,而不是单线频谱。这种拖影将使目标更难被发现,甚至被埋在混乱中。必须进行补偿才能消除电离层效应。本文提出了一种基于复合能量检测器(CED)的杂波去污算法。最初建议使用能量检测器(ED)来解调实际的AM-FM信号。 ED已扩展到复杂域。扩展之后,AM-FM信号的幅度和频率分量之间没有相互耦合。被电离层污染的布拉格杂波返回的相位由调频信号建模,而幅度被调幅。 CED算法用于跟踪受污染的返回信号的瞬时频率,然后将其用于补偿。给出了仿真结果。仿真结果表明,与汉克尔秩降算法相比,该算法在频率波动较大的情况下具有更好的性能。

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