Particular DDM codes for online phase shifter calibration in automotive MIMO radar
- 1 May 2023
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Abstract
Frequency modulated continuous wave (FMCW) multiple input multiple output (MIMO) radar systems employing Doppler division multiplexing (DDM) require calibrating the phase shifters to maintain optimal performance and minimize spurs all along the radar system's life cycle. Existing methods rely on a dedicated time slot to perform the phase shifters' calibration. Ideally, a method allowing for online estimation of the phase shifter imbalances without interrupting the radar operation would be desirable. In this work, a particular subset of the DDM coding scheme is analyzed, enabling such an online estimation. The proposed coding scheme and associated constellation imbalance estimator are detailed in this work and tested on the road, showing the robustness of the estimator.Keywords
This publication has 8 references indexed in Scilit:
- Modeling and Removing Doppler Division Multiplexing Spurs in Automotive MIMO RadarIEEE Sensors Journal, 2022
- An Iterative Phase Shifters Online Calibration Technique for Automotive Radar Systems2022
- Automotive Radar Signal Processing: Research Directions and Practical ChallengesIEEE Journal of Selected Topics in Signal Processing, 2021
- MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and ChallengesIEEE Signal Processing Magazine, 2020
- On the Safe Road Toward Autonomous Driving: Phase Noise Monitoring in Radar Sensors for Functional Safety ComplianceIEEE Signal Processing Magazine, 2019
- A System Concept for Online Calibration of Massive MIMO Transceiver Arrays for Communication and LocalizationIEEE Transactions on Microwave Theory and Techniques, 2017
- Self-Calibration of a 3-D-Digital Beamforming Radar System for Automotive Applications With Installation Behind Automotive CoversIEEE Transactions on Microwave Theory and Techniques, 2016
- Circle fitting by linear and nonlinear least squaresJournal of Optimization Theory and Applications, 1993