Congratulations!
Our paper titled “MIMO-SAR Image Antialiasing for Cascaded mmWave Radar Sensor“, has been accepted at the 2023 IEEE Radar Conference, to be held in San Antonio, Texas, USA from May 1-5, 2023.
This paper is collaborated by China Jiliang University, Andar Technologies and Einstein E-Tech GmbH.
Authors
Kang Liu, Yuanhui Zhang, Yu Cao, Xiangcheng Zhu, Qiyang Ge
Fan Zhang, Shunan Wang, Zhijian Zhang
Abstract
This paper presents a cascaded mmWave Radar sensor system, which is able to generate MIMO SAR imaging. Two techniques are proposed in this paper, calibration and antialiasing. Since the cascaded radar has a big aperture, the data capture time is significantly reduced by MxN times, M and N are the number of Tx and Rx channels of the cascaded radar sensor, which enables real time SAR imaging acquisition. In order to generate focused SAR imaging, the calibration of cascaded radar is necessary. Furthermore, an antialiasing technique is proposed to enhance the SAR image by reducing the ghost image bands. The proposed algorithm is evaluated by both simulation and real data processing. The experimental results show that MIMO-SAR image by our cascaded Radar sensor has the potential in real time applications.
