A Study on Adaptive Range Digital Beam-Forming Method for Ka-band Automotive SAR

• Published in: 2022 3rd China International SAR Symposium (CISS) pp. 1 - 7
• Main Authors: Wen, Jing, Zhang, QiLiang, Feng, Shuqing, Gong, QingKun, Hua, Wei, Zheng, Shichao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02-11-2022
• Subjects: adaptive; Data models; Digital beam-forming; Filtering; Imaging; Interference; Ka band; Real-time systems; Synthetic aperture radar; System performance
• DOI: 10.1109/CISS57580.2022.9971299

The verification of digital beam-forming technology using vehicle based Ka-SAR will easily lead to directional deviation due to the low height of the vehicle. DBF weight coefficients calculated using scan-on-receive(SCORE) algorithm exist deviation, which make synthetic beam pattern deviate from the ideal state and reduce the system performance. In this paper, an adaptive range DBF processing algorithm based on multi-channel SAR is proposed. The DBF weighting coefficients are adaptively generated by interference processing and phase extraction, which improved the receive gain. The adaptive algorithm has the advantages of high precision, simple processing flow, light computation load and real-time. Finally, the effectiveness of the algorithm is verified based on simulation and the real echo data.