基于时分MIMO的地基雷达高分辨率成像研究

蒋留兵; 杨涛; 车俐

doi:10.11999/JEIT150905

基于时分MIMO的地基雷达高分辨率成像研究

doi: 10.11999/JEIT150905

基金项目:

国家自然科学基金(61561010)，广西自然科学基金项目(2013GXNSFAA019323)，广西科学研究与技术开发计划项目(桂科攻14122006-6)，广西教育厅科研立项项目(KY2015LX096)，广西无线宽带通信与信号处理重点实验室主任基金项目(GXKL061506)

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出版历程
- 收稿日期: 2015-07-30
- 修回日期: 2016-01-20
- 刊出日期: 2016-05-19

Study on High-resolution Imaging of Ground-based MIMO Radar Based on Time-division Multiplexing

Funds:

The National Natural Science Foundation of China (61561010), Guangxi Natural Science Foundation (2013- GXNSFAA019323), Guangxi Scientific Research and Technological Development Project (guikegong 14122006-6), Guangxi Department of Education Research Project (KY2015LX096), Project of Guangxi Key Laboratory of Wireless Broadband Communications and Signal Processing Director Foundation (GXKL061506)

摘要

摘要: 基于时分多输入多输出(MIMO)的地基雷达成像有许多很好的应用价值，比如替代合成孔径雷达成像在山体滑坡监测方面的应用。针对基于时分MIMO的地基雷达高效高分辨率成像，该文提出一种基于逆傅里叶变换脉冲压缩和波束形成的成像算法。雷达通过步进频连续波技术获得高距离向分辨率，利用MIMO技术获得高方位向分辨率。通过逆傅里叶变换法实现雷达数据距离向压缩，采用波束形成算法实现雷达数据方位向压缩。同时该算法还针对MIMO天线阵列所引起的回波信号相位不连续问题进行了适当的校正，在保持算法高效性的同时提高了成像质量。根据真实的山体滑坡监测成像场景参数，通过数值仿真验证了该成像算法的可行性，应用在山体滑坡监测上理论效果良好。
- 雷达成像 /
- 时分MIMO雷达 /
- 高分辨率 /
- 波束形成 /
- 逆傅里叶变换脉冲压缩
Abstract: Ground-based radar imaging based on time-division multiplexing MIMO can be used in many important applications, such as application to landslide monitoring in place of synthetic aperture radar imaging. For efficient high-resolution imaging of the ground-based radar based on time-division multiplexing MIMO, an imaging algorithm based on Inverse Fast Fourier Transform (IFFT) pulse compression and beamforming is proposed. High range resolution is obtained by stepped frequency continuous wave technology and high azimuth resolution is obtained by MIMO technology. The range compression of radar data is realized by IFFT and the cross-range compression of radar data is realized by beamforming algorithm. Furthermore, phase discontinuity problem of received signal caused by MIMO antenna arrays is appropriately corrected in the algorithm, both efficiency of this algorithm and imaging quality are also improved. A numerical simulation proves feasibility of this imaging algorithm according to the practical parameters in monitoring and imaging scenario of landslide, and the proposed imaging algorithm has good theoretical performance when it is applied to landslide monitoring.
- Radar imaging /
- Time-division multiplexing MIMO radar /
- High-resolution /
- Beamforming /
- Inverse Fast Fourier Transform(IFFT) pulse compression

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