| Paper ID | SS-7.3 |
| Paper Title |
ICI-AWARE PARAMETER ESTIMATION FOR MIMO-OFDM RADAR VIA APES SPATIAL FILTERING |
| Authors |
Musa Furkan Keskin, Henk Wymeersch, Chalmers University of Technology, Sweden; Visa Koivunen, Aalto University, Finland |
| Session | SS-7: Multi-function Radio Frequency System: Radar, Communication, Positioning and Beyond |
| Location | Gather.Town |
| Session Time: | Wednesday, 09 June, 15:30 - 16:15 |
| Presentation Time: | Wednesday, 09 June, 15:30 - 16:15 |
| Presentation |
Poster
|
| Topic |
Special Sessions: Multi-function radio frequency system: radar, communication, positioning and beyond |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
We propose a novel three-stage delay-Doppler-angle estimation algorithm for a MIMO-OFDM radar in the presence of inter-carrier interference (ICI). First, leveraging the observation that spatial covariance matrix is independent of target delays and Dopplers, we perform angle estimation via the MUSIC algorithm. For each estimated angle, we next formulate the radar delay-Doppler estimation as a joint carrier frequency offset (CFO) and channel estimation problem via an APES (amplitude and phase estimation) spatial filtering approach by transforming the delay-Doppler parameterized radar channel into an unstructured form. In the final stage, delay and Doppler of each target can be recovered from target-specific channel estimates over time and frequency. Simulation results illustrate the superior performance of the proposed algorithm in high-mobility scenarios. |
