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Utilizing Adaptive Techniques to Supress Noise In High Frequency Ground Wave Radar

机译:利用自适应技术抑制高频地波雷达中的噪声

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Reducing noise disturbances in the frequency segment of high frequency (HF) ground wave radar and restraining the sidelobes of strong targets that interfere with the detection of weak targets are the interesting Topic. A new method based on an adaptive techniques that solves these problems is proposed. By changing the working time of the frequency spectrum monitor (FSM), we have shown not only that radar can run in the frequency segments with lower noise disturbances, but also that the noise data produced by FSM can be exploited effectively. There is no correlation between the noise and the useful echo signal, though the correlation between noises over very short time periods is strong, . Exploiting the phenomena, we can adjust system parameters in real-time by adaptive methods to solve the two problems, namely sidelobe disturbance of strong targets and noise distrubance in the frequency segment.
机译:减少高频(HF)地波雷达频率段中的噪声干扰并抑制干扰弱目标检测的强目标旁瓣是有趣的话题。提出了一种基于自适应技术的新方法来解决这些问题。通过更改频谱监视器(FSM)的工作时间,我们不仅显示出雷达可以在噪声干扰较低的频率段中运行,而且还可以有效地利用FSM产生的噪声数据。尽管在非常短的时间段内噪声之间的相关性很强,但噪声与有用的回波信号之间没有相关性。利用这种现象,我们可以通过自适应方法实时调整系统参数,以解决两个问题,即强目标的旁瓣扰动和频率段的噪声扰动。

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