ICI-Aware Parameter Estimation for Mimo-Ofdm Radar via Apes Spatial Filtering
Musa Furkan Keskin, Henk Wymeersch, Visa Koivunen
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 co-variance 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.
BibTeX
@inproceedings{icassp2021_iciawareparamete,
title = {ICI-Aware Parameter Estimation for Mimo-Ofdm Radar via Apes Spatial Filtering},
author = {Musa Furkan Keskin and Henk Wymeersch and Visa Koivunen},
booktitle = {ICASSP 2021},
year = {2021}
}