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中文摘要：
超分辨霄达成像方法不受瑞利限的限制，可以极大地提高雷达距离维分辨率，利于目标识别。针对传统方法不具有频率选择性，研究把了一种基于时域预滤波旋转不变参数估计技术（ESPRIT：Estimation of Signal Parametervia Rotational Invariance Techniques）的超分辨谱估计新方法，并成功应用于雷达距离维成像中。该算法把具有频率选择性的时域预滤波器和拓展旋转不变参数估计技术相结合。首先对雷达信号进行粗谱分析，获得信号频率分布的先验信息，然后针对性地设计频率选择时域滤波器对原始回波进行预处理，提高ESPRIT方法在目标信号所处频段的谱估计精度，改善距离维成像质量。仿真实验和暗室数据成像结果表明该方法具有频率选择特性和更好的频谱估计精度。
英文摘要：
Super-resolution radar imaging methods break out of Rayleigh Limit, and consequently a remarkable improvement in resolution of radar range profiles favors target recognition. Because conventional schemes lack frequency selectivity, a new super-resolu- tion spectral estimating method based on time-domain pre-filtered ESPRIT technique is studied and successfully applied to radar range imaging. This algorithm combines a frequency-selective time-domain pre-filtered filter with the extension of ESPRIT. Firstly, the prior knowledge of frequency distribution is obtained through a rough estimation of radar echoes, and then an TPF filter designed pertinently is used to pre-fiher radar echoes to enhance ESPRIT＇ s estimating precision and imaging quality at frequency band of radar target around. Imaging results of simulation experiments and darkroom measuring data show excellent frequency selectivity and validity of TPF-ES- PRIT.
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