| 基于高超声速平台前斜视多通道SAR-GMTI杂波抑制方法 |
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| 引用本文： | 王宇,曹运合,齐晨,韩玖胜,刘玉涛.基于高超声速平台前斜视多通道SAR-GMTI杂波抑制方法[J].电子与信息学报,2020,42(2):458-464. |
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| 作者姓名： | 王宇 曹运合 齐晨 韩玖胜 刘玉涛 |
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| 作者单位： | 1.西安电子科技大学雷达信号处理国家重点实验室 西安 7100712.通信网信息传输与分发技术重点实验室 石家庄 050081 |
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| 基金项目： | 国家自然科学基金(61771367)，通信网信息传输与分发技术重点实验室开放基金(HHS19641X003) |
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| 摘 要： | 针对高超声速(HSV)平台雷达系统，该文提出一种基于高超声速平台前斜视多通道合成孔径雷达地面动目标检测(SAR-GMTI)杂波抑制方法。该方法先进行时域距离走动校正和距离压缩，并补偿距离向通道相位误差实现距离向包络对齐；然后再对方位多普勒扩展的信号进行3阶线调频傅里叶变换(CFT)压缩，并补偿方位向通道相位误差实现方位向包络对齐；接着在距离时域-方位CFT域利用数字波束形成(DBF)技术对杂波及其模糊分量置零进行空时自适应处理(STAP)，从而可以有效抑制静止杂波及其模糊分量并提取出无模糊的运动目标回波信号。
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| 关 键 词： | 合成孔径雷达地面动目标检测 高超声速飞行器 前斜视 多普勒模糊 空时自适应处理 |
| 收稿时间： | 2018-11-01 |
Multi-channel SAR-GMTI Clutter Suppression Method Based onHypersonic Platform Forward Squint |
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| Yu WANG,Yunhe CAO,Chen QI,Jiusheng HAN,Yutao LIU.Multi-channel SAR-GMTI Clutter Suppression Method Based onHypersonic Platform Forward Squint[J].Journal of Electronics & Information Technology,2020,42(2):458-464. |
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| Authors: | Yu WANG Yunhe CAO Chen QI Jiusheng HAN Yutao LIU |
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| Affiliation: | 1.National Key Technology of Radar Signal Processing, Xidian University, Xi’an 710071, China2.Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang 050081, China |
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| Abstract: | According to the HyperSonic Vehicle (HSV) borne radar platform system, a multi-channel SAR-GMTI clutter suppression method is presented based on hypersonic platform forward squint mode. First, range walk correction and range compression are completed in the time domain, and the distance envelope is aligned simultaneously with phase error compensation. Then, the Doppler extended signal is compressed by three-order azimuth Chirp Fourier Transform (CFT), and the azimuth envelope of the echo is aligned with phase error compensation simultaneously. Next, the Digital Beam Forming (DBF) technology is applied to the range time-azimuth CFT domain by nulling the clutter and its ambiguous components to achieve Space-Time Adaptive Processing (STAP). The stationary clutter and its ambiguous components can be suppressed effectively and the echo signs of the moving target without blurring can be extracted. |
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