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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Dechirping Compression Method for Nonlinear Frequency Modulation Waveforms
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Dechirping Compression Method for Nonlinear Frequency Modulation Waveforms

机译：非线性调频波形的去三次压缩方法

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摘要

This letter proposes a novel dechirp processing method for wideband nonlinear frequency modulation (NLFM) waveform which enables low sampling rate of data. As we know, NLFM waveform can easily realize optimal shape of power spectral density which helps to achieve better pulse compression result with low range sidelobes without signal-to-noise ratio degradation caused by weighting as we usually do for LFM waveforms. In the approach, hamming window is adopted in the generation of the NLFM waveform for better balance on the low range sidelobes and a relative small bandwidth. In dechirp operation, the NLFM radar echoes are mixed with a local reference LFM signal, and thus narrowband signals are resulted and only low sampling rate is needed. The dechirped NLFM signals are then up-sampled and inverse dechirped by software and finally matched filtering is conducted to complete pulse compression. Both numerically simulated data and real radar data are processed to verify the effectiveness of the proposed method.
机译：这封信提出了一种用于宽带非线性频率调制（NLFM）波形的新颖的去线性处理方法，该方法能够实现低数据采样率。众所周知，NLFM波形可以轻松实现功率谱密度的最佳形状，这有助于在低范围旁瓣处获得更好的脉冲压缩结果，而不会像通常对LFM波形那样因加权而导致信噪比下降。在该方法中，在生成NLFM波形时采用了汉明窗，以更好地平衡低范围旁瓣和相对较小的带宽。在去线性调频操作中，NLFM雷达回波与本地参考LFM信号混合，因此产生窄带信号，并且只需要低采样率。然后，将经过去毛刺的NLFM信号进行上采样并通过软件进行反去毛刺，最后进行匹配滤波以完成脉冲压缩。数值模拟数据和真实雷达数据都经过处理，以验证该方法的有效性。

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