Abstract This paper proposes a mainlobe clutter suppression approach for frequency diverse array (FDA) radar blind-Doppler target detection, by exploiting the Doppler-spreading (DS) effect. As an emerging array processing technique, FDA differs from conventional phased-array in that it employs a frequency increment across the array elements. When a large frequency increment is used, the FDA radar echo signal from a moving target will be spectrally spread in Doppler domain. Inspired by this phenomenon, we establish a joint range-angle-Doppler processing model for FDA radar with DS consideration. Using resolution capability analysis, we show that that this DS effect provides potentials in resolving Doppler ambiguity and meanwhile suppressing mainlobe clutters. As an application example, the proposed FDA radar model with DS consideration is used for blind-Doppler target detection in mainlobe clutters. Analytical expressions for the detection probability and signal-to-clutter-plus-noise ratio (SCNR) are derived for the proposed FDA-based target detection. Numerical results show that the proposed approach outperforms the counterparts for the FDA radar without DS consideration and conventional radars.

中文翻译：

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考虑多普勒扩展的 FDA 雷达：用于盲多普勒目标检测的主瓣杂波抑制

摘要 本文利用多普勒扩展（DS）效应，提出了一种用于频率分集（FDA）雷达盲多普勒目标检测的主瓣杂波抑制方法。作为一种新兴的阵列处理技术，FDA 与传统相控阵的不同之处在于它在阵列元素上采用频率增量。当使用大频率增量时，来自移动目标的 FDA 雷达回波信号将在多普勒域中进行频谱扩展。受这一现象的启发，我们建立了一个考虑 DS 的 FDA 雷达的联合距离-角-多普勒处理模型。使用分辨能力分析，我们表明这种 DS 效应提供了解决多普勒模糊度并同时抑制主瓣杂波的潜力。作为应用示例，建议的带有 DS 考虑的 FDA 雷达模型用于主瓣杂波中的盲多普勒目标检测。检测概率和信杂噪声比 (SCNR) 的分析表达式是为建议的基于 FDA 的目标检测推导出来的。数值结果表明，所提出的方法优于不考虑 DS 的 FDA 雷达和传统雷达的对应方法。