| 摘要: |
| 多通道SAR/GMTI系统通过空时自适应处理（STAP）抑制杂波，可以有效降低系统的最小可检测速度（MDV），但在复杂探测环境中，杂波背景不再服从高斯分布，导致传统SAR-STAP方案在地面动目标指示应用中性能明显下降。针对这种情况，提出一种新的基于Alpha稳定分布杂波模型的动目标检测方案，该方案引入Alpha稳定分布代替高斯分布以建立非高斯杂波模型，在此基础上采用基于最小分数低阶矩无畸变准则的新型算法进行杂波抑制处理。通过仿真及实测数据对算法性能进行了验证，结果表明，该算法在非高斯杂波环境中性能明显优于原有算法。 |
| 关键词: 合成孔径雷达地面动目标指示 空时自适应处理 Alpha稳定分布 恒虚警检测 |
| DOI：10.3969/j.issn.1672-2337.2018.06.004 |
| 分类号:TN958.2 |
| 基金项目:航空科学基金(No.20162052019)；江苏省自然科学基金青年基金(No.BK20150730)；中央高校基本科研业务费专项资金；南京航空航天大学研究生创新基地（实验室）开放基金（No.kfjj20160405） |
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| Ground Moving Target Detection Algorithm Based on Alpha Stable Distribution |
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JIANG Penghui，WU Di，ZHU Daiyin，ZHANG Jie，JIANG Ye
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Key Laboratory of Radar Imaging and Microwave Photonics，Ministry of Education，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China
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| Abstract: |
| The multichannel SAR ground moving target indication (GMTI) system can effectively reduce the minimum detectable velocity (MDV) of ground slowly-moving target by employing space-time adaptive processing (STAP) technique to suppress ground clutter.Synthetic aperture radar space-time adaptive processing (SAR-STAP) is an efficient approach for ground moving target indication (GMTI).However，its performance will degrade in complex detection environment because clutter background no longer obeys Gaussian distribution.To remedy this，this paper proposes a new moving target detection algorithm based on Alpha stable distribution for ground moving target detection in non-Gaussian clutter.In the new proposed algorithm，the Alpha stable distribution is introduced to model non-Gaussian clutter，and the fractional lower order minimum variance distortlessness response (FrMVDR) criterion is utilized to design the clutter suppression filter.As verified by simulation and experimental results，detection performance of the new algorithm obviously outperforms the traditional SAR-STAP algorithm in the non-Gaussian clutter environment. |
| Key words: synthetic aperture radar ground moving target indication(SAR/GMTI) space time adaptive processing Alpha stable distribution constant false alarm rate(CFAR) detection |
