MIMO-SAR Image Antialiasing for Cascaded mmWave Radar Sensor

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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$M\times N$</tex> times, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$M$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$N$</tex> 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.