Projects per year
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Radar Conference (RadarConf23) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665436694 |
| ISBN (Print) | 978-1-6654-3669-4 |
| DOIs | |
| Publication status | Published - May 2023 |
Publication series
| Name | Proceedings of the IEEE Radar Conference |
|---|---|
| Volume | 2023-May |
| ISSN (Print) | 1097-5764 |
| ISSN (Electronic) | 2375-5318 |
Fields of science
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202015 Electronics
- 202022 Information technology
- 202023 Integrated circuits
- 202028 Microelectronics
- 202037 Signal processing
JKU Focus areas
- Digital Transformation
Projects
- 1 Finished
-
Online Calibration for Automotive MIMO FMCW Radar Systems
Jeannin, M. (Researcher), Lang, O. (Researcher) & Huemer, M. (PI)
01.04.2021 → 31.03.2024
Project: Other › PhD thesis project