| 基于主瓣杂波高效配准的机载非正侧视阵雷达STAP 算法研究 |
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| 引用本文： | 王 杰,沈明威,吴 迪,朱岱寅. 基于主瓣杂波高效配准的机载非正侧视阵雷达STAP 算法研究[J]. 雷达学报, 2014, 3(2): 235-240. DOI: 10.3724/SP.J.1300.2014.13122 |
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| 作者姓名： | 王 杰 沈明威 吴 迪 朱岱寅 |
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| 作者单位： | 1.(河海大学计算机与信息工程学院 南京 211100)2.(南京航空航天大学电子与信息工程学院 南京 210016) |
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| 基金项目： | 国家自然科学青年基金(61201459,61301212);江苏省自然科学青年基金(BK2012408);江苏省“六大人才高峰”(ZBZZ-009);中央高校科研业务费(2012B6014);雷达成像与微波光子技术教育部重点实验室基金(PIMP-2013002)资助课题 |
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| 摘 要： | 该文针对机载非正侧视阵雷达杂波距离空变特性，提出基于主瓣杂波高效自适应配准的STAP 算法。为降低运算量，采用时空级联方法首先精确估计主杂波多普勒频率，然后采用稀疏重构技术估计主杂波的空间角频率，进而对不同距离单元的主杂波进行2 维配准，最后采用3DT 进行杂波抑制。仿真实验表明，经主杂波配准后，3DT改善因子在主杂波区提高了约18 dB，显著提高了对慢动目标的检测性能，且该文方案实时处理的运算量小。
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| 关 键 词： | 空时自适应处理(STAP) 稀疏重构 主杂波配准 杂波抑制 |
| 收稿时间： | 2013-12-10 |
An Efficient STAP Algorithm for Nonsidelooking Airborne Radar Based on Mainlobe Clutter Compensation |
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| Wang Jie,Shen Ming-wei,Wu Di,Zhu Dai-yin. An Efficient STAP Algorithm for Nonsidelooking Airborne Radar Based on Mainlobe Clutter Compensation[J]. Journal of Radars, 2014, 3(2): 235-240. DOI: 10.3724/SP.J.1300.2014.13122 |
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| Authors: | Wang Jie Shen Ming-wei Wu Di Zhu Dai-yin |
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| Affiliation: | 1.(College of Computer & Information Engineering, Hohai University, Nanjing 211100, China)2.(College of Electronic & Information Engineering, NUAA, Nanjing 210016, China) |
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| Abstract: | An efficient STAP algorithm for NonSideLooking (NSL) airborne radar is presented. The algorithm can mitigate the range dependence of clutter by mainlobe clutter compensation. To reduce the computational complexity, the Doppler frequency of the mainlobe clutter is firstly estimated via FFT in the time domain, and then the spatial frequency is accurately obtained by sparse reconstruction corresponding to the output of the mainlobe clutter Doppler cell. Therefore, based on the estimated location of the mainlobe clutter, the clutter corresponding to different range cells can be adaptively compensated, which results in improved clutter suppression performance of the following 3DT processing. As shown in the simulation, the Improvement Factor (IF) of 3DT is increased about 18 dB in the domain of mainlobe, which can greatly improve the detection of slowmoving targets. In addition, the proposed scheme can be applied to real-time processing owing to its small computational load. |
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