Wireless communication systems are to use millimeter-wave (mmWave) spectra, which can enable extra radar functionalities. In this paper, we propose a multi-target velocity estimation technique using IEEE 802.11ad waveform in a vehicle-to-vehicle (V2V) scenario. We form a wide beam to consider multiple target vehicles. The Doppler shift of each vehicle is estimated from least square estimation (LSE) using the round-trip delay obtained from the auto-correlation property of Golay complementary sequences in IEEE 802.11ad waveform, and the phase wrapping is compensated by the Doppler shift estimates of proper two frames. Finally, the velocities of target vehicles are obtained from the estimated Doppler shifts. Simulation results show the proposed velocity estimation technique can achieve significantly high accuracy even for short coherent processing interval (CPI).
翻译:无线通信系统将使用毫米波(mmWave)光谱,这种光谱可以产生额外的雷达功能。在本文中,我们提议在车辆到车辆(V2V)的假设情景中使用IEE 802.11ad波形的多目标速度估计技术。我们形成了一个宽梁,以考虑多目标车辆。每部车辆的多普勒转换是根据最低平方估计(LSE)估计的,使用在IEE 802.11ad波形中Golay相配序列自动波段的回程特性获得的回程延迟,而阶段包装则由适当的两个框架的多普勒移动估计值来补偿。最后,目标车辆的速度是从估计的多普勒轮移中获得的。模拟结果显示,拟议的速度估计技术即使在短连贯的处理间隔(CPI)下也能达到相当高的精确度。