Velocity Measurement Algorithm Base on Correlation Over Multi-frame with IEEE 802.11 ad
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摘要: 波形设计是实现通信感知一体化关键技术之一，有利于缓解频谱竞争压力、减少资源浪费。该文提出一种在车对万物互联(V2X)场景下基于IEEE 802.11ad无线局域网波形的测速算法。首先基于物理层帧结构中前导良好的目标感知特性对接收多帧信号的前导做不同移位的相关运算，将多普勒频偏估计转换为线性回归斜率估计得到多普勒估计值用以测速；其次提出相位补偿方案，解决由相位模糊导致的测速范围受限问题。仿真结果表明，在单目标视距场景下所提算法可实现厘米级测速精度，且相较于目前同类型算法具有更低测速误差。
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关键词:
- 通信感知一体化 /
- V2X /
- IEEE 802.11ad /
- 测速
Abstract: Waveform design is one of the critical technologies for achieving integrated sensing and communication, which is beneficial for alleviating the pressure of spectrum competition and saving resources. In this paper, a velocity measurement algorithm in Vehicle-to-everything(V2X) communications with IEEE 802.11ad wireless local area network waveform is proposed. Firstly, as the preamble in the physical layer frame structure has an ideal characteristic suitable for target sensing, the preambles of the received multi-frame signals are performed correlation operations at different moving steps, then the Doppler shift which is used for velocity measurement is obtained by converting Doppler frequency offset estimation into linear regression slope estimation. Secondly, in order to solve the problem of limited velocity measurement range caused by phase ambiguity, a phase compensation scheme is proposed. The simulation results show that the proposed algorithm can achieve centimeter-level accuracy in single target and LOS scenarios, and has lower velocity measurement error than the current similar algorithm. -
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