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中文摘要：
提出了一种联合空间、时间和距离的三维直接数据域（space-time-range direct data domain,STR-DDD）算法。与传统方法相比,该方法将目标周边距离单元的数据联合起来,充分利用目标距离向上的信息,在空域上能够对孤立干扰形成深的凹口,并且当目标导向矢量存在幅相误差时仍具有稳健性。在MCARM数据平台上的实验结果表明,该方法能够提高地面动目标检测（ground moving target indication,GMTI）性能。
英文摘要：
This paper proposes a three-dimensional direct data domain algorithm （STR-DDD）, which joins space, time and range information. Compared with the conventional methods, the algorithm joins the data stored in range cells around the target to be detected and makes full use of additional information on range so as to form a deeper notch against isolated interference in airspace. Moreover, it is robust to the gain and phase errors on steering vector. Results of experiments carried on the MCARM data show that the algorithm can improve the performance of ground moving target indication （GMTI）.
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同项目期刊论文
Performance improvement for monostatic clutter mitigation using space-time-range three dimensional a
Unambiguous Doppler centroid estimation approach for SAR data based upon compressed signal magnitude
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