Investigation on Beamspace Multiple-Input Multiple-Output Synthetic Aperture Radar Data Imaging

• Published in: International journal of antennas and propagation Vol. 2016; no. 2016; pp. 1 - 14
• Main Authors: Mo, Hongbo, Zeng, Zhimin, Xu, Wei
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016; John Wiley & Sons, Inc; Wiley
• Subjects: Aperture; Azimuth; Beamforming; Data imaging; Echoes; Geometry; Imaging; Investigations; Radar imaging; Raw; Reconstruction; Remote sensing; Simulation; Synthetic aperture radar
• ISSN: 1687-5869; 1687-5877; 1687-5877
• DOI: 10.1155/2016/2706836

The multiple-input multiple-output (MIMO) technique can improve the high-resolution wide-swath imaging capacity of synthetic aperture radar (SAR) systems. Beamspace MIMO-SAR utilizes multiple subpulses transmitted with different time delays by different transmit beams to obtain more spatial diversities based on the relationship between the time delay and the elevation angle in the side-looking radar imaging geometry. This paper presents a beamspace MIMO-SAR imaging approach, which takes advantage of real time digital beamforming (DBF) with null steering in elevation and azimuth multichannel raw data reconstruction. Echoes corresponding to different subpulses in the same subswath are separated by DBF with null steering onboard, while echoes received and stored by different azimuth channels are reconstructed by multiple Doppler reconstruction filters on the ground. Afterwards, the resulting MIMO-SAR raw data could be equivalent to the raw data of the single-channel burst mode, and classical burst mode imaging algorithms could be adopted to obtain final focused SAR images. Simulation results validate the proposed imaging approach.