| 离网误差迭代自校正STAP算法 |
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| 引用本文： | 尚慧慧,高志奇,黄平平. 离网误差迭代自校正STAP算法[J]. 信号处理, 2021, 37(7): 1277-1284. DOI: 10.16798/j.issn.1003-0530.2021.07.018 |
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| 作者姓名： | 尚慧慧 高志奇 黄平平 |
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| 作者单位： | 内蒙古工业大学信息工程学院 |
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| 基金项目： | 国家自然科学基金项目(61761037)；内蒙古工业大学科学研究重点项目(ZD201717)；内蒙古自治区高等学校科学技术研究项目(NJZY19072) |
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| 摘 要： | 基于稀疏恢复技术的空时自适应处理(Sparse Recovery Space-Time Adaptive Processing,SR-STAP)方法提升了动目标检测性能.然而,当出现离网效应时,SR-STAP算法的杂波抑制性能下降.为了解决离网效应问题,本文提出了一种离网误差迭代自校正STAP算法.该算法首先从常规ST...
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| 关 键 词： | 空时自适应技术 稀疏恢复 离网效应 后验贝叶斯思想 |
| 收稿时间： | 2021-02-07 |
STAP Algorithm Based on Iterative Self- calibrated method for Off-Grid |
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| Affiliation: | College of Information Engineering, Inner Mongolia University of TechnologyInner Mongolia Key Laboratory of Radar Technology and Application |
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| Abstract: | Space recovery space-time adaptive processing method based on sparse recovery (SR-STAP) improves the performance of moving target detection. However, when the off-grid effect occurs, the performance of SR-STAP algorithm was degraded. Hence, an off-grid error iterative self-calibrated STAP algorithm was proposed to solve this problem. Firstly, the grid points with high power spectrum value were selected from the general global dictionary to construct the large dictionary. Secondly, the atoms with high matching degree with clutter points were found from the large dictionary as the center, and the local dictionary was constructed. In addition, the local search was carried out by considering the posterior Bayesian, and the highest matching degree with clutter points was founded. Finally, the calibrated dictionary and the optimal STAP filter weight are obtained, which optimizes the performance of STAP algorithm in off-grid situation. The effectiveness of the algorithm is verified by simulations. |
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