ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering

Musa Furkan Keskin; Henk Wymeersch; Visa Koivunen

doi:10.1109/ICASSP39728.2021.9414537

ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering

Musa Furkan Keskin^*
, Henk Wymeersch
, Visa Koivunen

^*Corresponding author for this work

Visa Koivunen Group

Chalmers University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

13 Citations (Scopus)

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.

Original language	English
Title of host publication	ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	IEEE
Pages	8248-8252
Number of pages	5
Volume	2021-June
ISBN (Electronic)	978-1-7281-7605-5
ISBN (Print)	978-1-7281-7606-2
DOIs	https://doi.org/10.1109/ICASSP39728.2021.9414537
Publication status	Published - 2021
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing - Virtua, Online, Toronto, Canada Duration: 6 Jun 2021 → 11 Jun 2021

Publication series

Name	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP
Country/Territory	Canada
City	Toronto
Period	06/06/2021 → 11/06/2021

Funding

This work is supported by Vinnova grant 2018-01929 and the Marie Skłodowska-Curie Individual Fellowships (H2020-MSCA-IF-2019) Grant 888913 (OTFS-RADCOM).

Keywords

APES
CFO estimation
Intercarrier interference
Joint radar-communications
OFDM

Access to Document

10.1109/ICASSP39728.2021.9414537

https://arxiv.org/abs/2102.06756Licence: Unspecified

Cite this

Keskin, M. F., Wymeersch, H., & Koivunen, V. (2021). ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 2021-June, pp. 8248-8252). ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9414537

Keskin, Musa Furkan ; Wymeersch, Henk ; Koivunen, Visa. / ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Vol. 2021-June IEEE, 2021. pp. 8248-8252 ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

@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",

}

Keskin, MF, Wymeersch, H & Koivunen, V 2021, ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering. in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). vol. 2021-June, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. 8248-8252, IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Ontario, Canada, 06/06/2021. https://doi.org/10.1109/ICASSP39728.2021.9414537

ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering. / Keskin, Musa Furkan; Wymeersch, Henk; Koivunen, Visa.
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Vol. 2021-June IEEE, 2021. p. 8248-8252 ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering

AU - Keskin, Musa Furkan

AU - Wymeersch, Henk

AU - Koivunen, Visa

N1 - Funding Information: This work is supported by Vinnova grant 2018-01929 and the Marie Skłodowska-Curie Individual Fellowships (H2020-MSCA-IF-2019) Grant 888913 (OTFS-RADCOM). Publisher Copyright: © 2021 IEEE

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - APES

KW - CFO estimation

KW - Intercarrier interference

KW - Joint radar-communications

KW - OFDM

UR - https://www.scopus.com/pages/publications/85104121995

U2 - 10.1109/ICASSP39728.2021.9414537

DO - 10.1109/ICASSP39728.2021.9414537

M3 - Conference article in proceedings

AN - SCOPUS:85104121995

SN - 978-1-7281-7606-2

VL - 2021-June

T3 - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

SP - 8248

EP - 8252

BT - ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 6 June 2021 through 11 June 2021

ER -

Keskin MF, Wymeersch H, Koivunen V. ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Vol. 2021-June. IEEE. 2021. p. 8248-8252. ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). doi: 10.1109/ICASSP39728.2021.9414537

ICI-aware parameter estimation for MIMO-OFDM radar via APES spatial filtering

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this