ICI-Aware Parameter Estimation for MIMO-OFDM Radar via APES Spatial Filtering

TL;DR

This paper introduces a three-stage algorithm for MIMO-OFDM radar that effectively estimates delay, Doppler, and angle parameters even in high-mobility scenarios with inter-carrier interference, improving accuracy and robustness.

Contribution

It presents a novel ICI-aware parameter estimation method combining MUSIC and APES spatial filtering tailored for high-mobility MIMO-OFDM radar systems.

Findings

Superior performance in high-mobility scenarios

Effective joint delay-Doppler-angle estimation

Robustness against inter-carrier interference

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.