Near-Field Velocity Sensing and Predictive Beamforming

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.

6 pages, 6 figures

References in corpus (1)

• Reconfigurable Intelligent Surface-Aided Near-field Communications for 6G: Opportunities and Challenges

Cited by in corpus (4)

• Rethinking Integrated Sensing and Communication: When Near Field Meets Wideband
• Near-Field Localization and Sensing with Large-Aperture Arrays: From Signal Modeling to Processing
• Performance Analysis of Near-Field Sensing in Wideband MIMO Systems
• Near-Field Motion Parameter Estimation: A Variational Bayesian Approach