Radar Rainbow Beams For Wideband mmWave Communication: Beam Training And Tracking
arxiv(2024)
摘要
We propose a novel integrated sensing and communication (ISAC) system that
leverages sensing to assist communication, ensuring fast initial access,
seamless user tracking, and uninterrupted communication for millimeter wave
(mmWave) wideband systems. True-time-delayers (TTDs) are utilized to generate
frequency-dependent radar rainbow beams by controlling the beam squint effect.
These beams cover users across the entire angular space simultaneously for fast
beam training using just one orthogonal frequency-division multiplexing (OFDM)
symbol. Three detection and estimation schemes are proposed based on radar
rainbow beams for estimation of the users' angles, distances, and velocities,
which are then exploited for communication beamformer design. The first
proposed scheme utilizes a single-antenna radar receiver and one set of rainbow
beams, but may cause a Doppler ambiguity. To tackle this limitation, two
additional schemes are introduced, utilizing two sets of rainbow beams and a
multi-antenna receiver, respectively. Furthermore, the proposed detection and
estimation schemes are extended to realize user tracking by choosing different
subsets of OFDM subcarriers. This approach eliminates the need to switch phase
shifters and TTDs, which are typically necessary in existing tracking
technologies, thereby reducing the demands on the control circurity. Simulation
results reveal the effectiveness of the proposed rainbow beam-based training
and tracking methods for mobile users. Notably, the scheme employing a
multi-antenna radar receiver can accurately estimate the channel parameters and
can support communication rates comparable to those achieved with perfect
channel information.
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