Conference paper
On the Impact of Channel Imbalance on MIMO Radar Performance
The multiple-input multiple-output (MIMO) radar systems suffer from several types of system imperfections such as antenna mutual coupling, channel imbalance, system hardware limitations, and noise. Through calibration the deterministic system imperfections can be significantly reduced. Some sources of system degradation are time-variant and require re-calibration for instance amplitude and phase drift, while other sources are random, which makes calibration unfeasible.
The effects of such sources are analysed with a MIMO radar model using time-division multiplexed (TDM) frequency modulated waveforms. The direction-of-arrival (DOA) estimation error based on a discrete Fourier transform (DFT) together with the peak sidelobe level (PSL) are used as performance parameters
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2021 |
| Pages: | 300-333 |
| Proceedings: | European Radar Conference (EURAD) |
| ISBN: | 1728170605 , 2874870617 , 9781728170602 and 9782874870613 |
| Types: | Conference paper |
| DOI: | 10.1109/EuRAD48048.2021.00091 |
| ORCIDs: | Grove, Ricard L. and Dall, Jørgen |
DFT Degradation Direction-of-arrival estimation Discrete Fourier transforms MIMO radar performance PSL Radar Time division multiplexing Time-frequency analysis channel drift channel imbalance deterministic system imperfections direction of arrival estimation error direction-of-arrival direction-of-arrival estimation discrete Fourier transform discrete Fourier transforms frequency modulation multiple-input multiple-output radar systems peak sidelobe level radar signal processing reliability system degradation system imperfections system noise time division multiplexing time-division multiplexed frequency modulated waveforms wireless channels
