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arXiv · 2506.13258

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

Murat Babek Salman·Emil Björnson
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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.

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Murat Babek Salman, Emil Björnson. 2025-06-16. DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar. https://arxiv.org/abs/2506.13258

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