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

JIANG Liubing; YANG Tao; CHE Li

doi:10.11999/JEIT150905

Volume 38 Issue 5

May 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(5): 1055-1063

JIANG Liubing, YANG Tao, CHE Li. Study on High-resolution Imaging of Ground-based MIMO Radar Based on Time-division Multiplexing[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1055-1063. doi: 10.11999/JEIT150905

Citation:

JIANG Liubing, YANG Tao, CHE Li. Study on High-resolution Imaging of Ground-based MIMO Radar Based on Time-division Multiplexing[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1055-1063. doi: 10.11999/JEIT150905

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

doi: 10.11999/JEIT150905

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)

Received Date: 2015-07-30
Rev Recd Date: 2016-01-20
Publish Date: 2016-05-19

Abstract

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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References(26)

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