DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar

TL;DR

This paper presents a novel two-stage DoA estimation algorithm for MIMO-OFDM radar that improves accuracy in high-density target scenarios by combining delay-Doppler filtering and sidelobe mitigation.

Contribution

It introduces a new sensing parameter estimation method that enhances DoA accuracy in high-density environments with limited antenna arrays.

Findings

Superior DoA estimation accuracy demonstrated in simulations.

Effective discrimination of multiple targets in dense scenarios.

Robust performance against sidelobe interference.

Abstract

Sensing emerges as a critical challenge in 6G networks, which require simultaneous communication and target sensing capabilities. State-of-the-art super-resolution techniques for the direction of arrival (DoA) estimation encounter significant performance limitations when the number of targets exceeds antenna array dimensions. This paper introduces a novel sensing parameter estimation algorithm for orthogonal frequency-division multiplexing (OFDM) multiple-input multiple-output (MIMO) radar systems. The proposed approach implements a strategic two-stage methodology: first, discriminating targets through delay and Doppler domain filtering to reduce the number of effective targets for super-resolution DoA estimation, and second, introducing a fusion technique to mitigate sidelobe interferences. The algorithm enables robust DoA estimation, particularly in high-density target environments with limited-size antenna arrays. Numerical simulations validate the superior performance of the proposed method compared to conventional DoA estimation approaches.