Near-Field Velocity Sensing and Predictive Beamforming

November 16, 2023 Β· Declared Dead Β· πŸ› IEEE Transactions on Vehicular Technology

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Authors Zhaolin Wang, Xidong Mu, Yuanwei Liu arXiv ID 2311.09888 Category cs.IT: Information Theory Cross-listed eess.SP Citations 39 Venue IEEE Transactions on Vehicular Technology Last Checked 6 months ago
Abstract
The novel concept of near-field velocity sensing is proposed. In contrast to far-field velocity sensing, near-field velocity sensing enables the simultaneous estimation of both radial and transverse velocities of a moving target. A maximum-likelihood-based method is proposed for jointly estimating the radial and transverse velocities from the echo signals. Assisted by near-field velocity sensing, a predictive beamforming framework is proposed for a moving communication user, which requires no channel estimation but achieves seamless data transmission. Finally, numerical examples validate the proposed approaches.
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