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.

翻译：提出了一种新颖的近场速度感知概念。与远场速度感知不同，近场速度感知能够同时估计运动目标的径向速度和横向速度。本文提出了一种基于最大似然的方法，从回波信号中联合估计径向速度和横向速度。借助近场速度感知，针对移动通信用户提出了一种预测性波束赋形框架，该框架无需信道估计即可实现无缝数据传输。最后，通过数值算例验证了所提出的方法。