Study on High-resolution Imaging of Ground-based MIMO Radar Based on Time-division Multiplexing
JIANG Liubing①② YANG Tao② CHE Li①②
①(Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory, Guilin University of Electronic Technology, Guilin 541004, China) ②(School of Information and Communication Engineering, Guilin University of Electronic Technology, Guilin 541004, China)
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.
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