@inproceedings{8f7170cd86e54558a7f16c78b215a2de,
title = "ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering",
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.",
keywords = "APES, CFO estimation, Intercarrier interference, Joint radar-communications, OFDM",
author = "Keskin, {Musa Furkan} and Henk Wymeersch and Visa Koivunen",
note = "Funding Information: This work is supported by Vinnova grant 2018-01929 and the Marie Sk{\l}odowska-Curie Individual Fellowships (H2020-MSCA-IF-2019) Grant 888913 (OTFS-RADCOM). Publisher Copyright: {\textcopyright} 2021 IEEE; IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
doi = "10.1109/ICASSP39728.2021.9414537",
language = "English",
isbn = "978-1-7281-7606-2",
volume = "2021-June",
series = " Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",
publisher = "IEEE",
pages = "8248--8252",
booktitle = "ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
}