ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering
Paper in proceeding, 2021

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.


Joint radar-communications

CFO estimation

Intercarrier interference



Furkan Keskin

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Visa Koivunen

Aalto University

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

Vol. 2021-June 8248-8252

2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Virtual, Toronto, Canada,

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European Commission (EC) (888913-OTFS-RADCOM), 2020-09-01 -- 2022-08-31.

Subject Categories


Probability Theory and Statistics

Signal Processing



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