Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform

TL;DR

This paper introduces a novel multi-vehicle velocity estimation method using IEEE 802.11ad waveform in V2V scenarios, leveraging Doppler shifts and Golay sequences for high-accuracy velocity measurements.

Contribution

It presents a new technique combining Golay sequence auto-correlation and least squares estimation for accurate multi-vehicle velocity estimation with IEEE 802.11ad.

Findings

High accuracy velocity estimation achieved in simulations.

Effective Doppler shift compensation for phase wrapping.

Suitable for short coherent processing intervals.

Abstract

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).