Radar Imaging Based on IEEE 802.11ad Waveform

TL;DR

This paper demonstrates a method for vehicular radar imaging using IEEE 802.11ad waveform, estimating delay, Doppler shift, and velocity to produce ISAR images in a realistic setting.

Contribution

It introduces a novel approach to vehicular radar imaging leveraging IEEE 802.11ad signals and detailed parameter estimation techniques.

Findings

Recognizable ISAR images can be generated from simulated vehicular scenarios.

Delay estimation uses Golay sequence correlation properties.

Doppler shift and velocity are accurately estimated and refined.

Abstract

The extension to millimeter-wave (mmWave) spectrum of communication frequency band makes it easy to implement a joint radar and communication system using single hardware. In this paper, we propose radar imaging based on the IEEE 802.11ad waveform for a vehicular setting. The necessary parameters to be estimated for inverse synthetic aperture radar (ISAR) imaging are sampled version of round-trip delay, Doppler shift, and vehicular velocity. The delay is estimated using the correlation property of Golay complementary sequences embedded on the IEEE 802.11ad preamble. The Doppler shift is first obtained from least square estimation using radar return signals and refined by correcting the phase uncertainty of Doppler shift by phase rotation. The vehicular velocity is determined from the estimated Doppler shifts and an equation of motion. Finally, an ISAR image is formed with the acquired parameters. Simulation results show that it is possible to obtain recognizable ISAR image from a point scatterer model of a realistic vehicular setting.