Zhou G, Peng Z, Pan C, Schober R (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: IEEE Wireless Communications and Networking Conference, WCNC
Event location: Dubai, ARE
ISBN: 9798350303582
DOI: 10.1109/WCNC57260.2024.10571276
We present a novel fast beam training method for fast moving targets in millimeter wave (mmWave) wideband radar systems. True-time-delayers (TTDs) are utilized to generate frequency-dependent radar rainbow beams using one orthogonal frequency-division multiplexing (OFDM) symbol, simultaneously covering targets located in the entire angular space for fast beam training. We first propose a scheme based on a single-antenna radar receiver. It can effectively detect and estimate different parameters of interest of targets, including their angles, distance related delays, and velocity related Doppler frequencies, but faces a Doppler ambiguity challenge. To tackle this limitation, we further introduce a scheme based on a multi-antenna receiver, which provides high-precision estimation performance. Simulation results reveal the effectiveness of the proposed rainbow beam-based training method for detecting and estimating mobile targets.
APA:
Zhou, G., Peng, Z., Pan, C., & Schober, R. (2024). Rainbow Beams for Wideband mmWave Radar: Beam Training. In IEEE Wireless Communications and Networking Conference, WCNC. Dubai, ARE: Institute of Electrical and Electronics Engineers Inc..
MLA:
Zhou, Gui, et al. "Rainbow Beams for Wideband mmWave Radar: Beam Training." Proceedings of the 25th IEEE Wireless Communications and Networking Conference, WCNC 2024, Dubai, ARE Institute of Electrical and Electronics Engineers Inc., 2024.
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