Joint Calibration of MIMO Radar Arrays under Multiple Signal Sources

Author:

Wang Bin,Xie XiaoYu,Yin Shufei

Abstract

Article Joint Calibration of MIMO Radar Arrays under Multiple Signal Sources Bin Wang 1, Xiaoyu Xie 1, and Shufei Yin 1,2,* 1 Shanghai Baolong Automotive Corporation 2 School of Automotive Engineering, Wuhan University of Technology * Correspondence: yinshufei@chinabaolong.net     Received: 7 October 2023 Accepted: 2 November 2023 Published: 6 December 2023   Abstract: The 4D vehicle-mounted millimeter-wave radar can simultaneously measure the horizontal and vertical angles, which depends on the arrangement of the multiple-input multiple-output (MIMO) array antenna. In practical engineering applications, to ensure the calculation accuracy of horizontal angle and vertical angle, it is necessary to calibrate the array phase error and array antenna spacing error. In this paper, aiming at the simultaneous occurrence of array amplitude-phase errors and array antenna spacing errors, a mathematical model of MIMO antenna array errors is established. At the same time, the impact of array errors is analyzed by simulation. An array joint calibration method under multi-source is proposed, and the proposed calibration method is simulated and analyzed. The results show that the array phase error and the array spacing error can be calibrated at the same time through this calibration method, which can meet the calibration requirements in the mass production process of vehicle radar. The calibration method mentioned in this paper has the advantages of simplicity and high efficiency for the calibration of vehicle radar at this stage.

Publisher

Australia Academic Press Pty Ltd

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