2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSS-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
SessionSS-7: Multi-function Radio Frequency System: Radar, Communication, Positioning and Beyond
LocationGather.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
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.