An Experimental Study on Fine-Grained Bistatic Sensing of UAV Trajectory via Cellular Downlink Signals

TL;DR

It is demonstrated by experiments that the tracking errors are below 50 centimeters for 90% of the complicated trajectories, and high-accuracy trajectory tracking for UAV might be feasible via multi-angle bistatic Doppler measurements if the receivers are deployed with a sufficient density.

Abstract

In this letter, a dual-bistatic unmanned aerial vehicles (UAVs) tracking system utilizing downlink Long-Term Evolution (LTE) signals is proposed and demonstrated. Particularly, two LTE base stations (BSs) are exploited as illumination sources. Two passive sensing receivers are deployed at different locations to detect the bistatic Doppler frequencies of the target UAV at different directions according to downlink signals transmitted from their corresponding BSs, such that the velocities of the UAV versus time can be estimated. Hence, the trajectories of the target UAV can be reconstructed. Although both the target UAV and the sensing receivers are around 200 meters away from the illuminating BSs, it is demonstrated by experiments that the tracking errors are below 50 centimeters for 90% of the complicated trajectories, when the distances between the UAV and sensing receivers are less than 30 meters. Note this accuracy is significantly better than the ranging resolution of LTE signals, high-accuracy trajectory tracking for UAV might be feasible via multi-angle bistatic Doppler measurements if the receivers are deployed with a sufficient density.

Figures (6)

• Figure 1: An example scenario of the proposed passive UAV tracking, where the carrier frequencies of the BSs are the measured ones in the experiment.
• Figure 2: Illustration of experiment scenario.
• Figure 3: The time-Doppler spectrograms at the two receivers.
• Figure 4: Detected bistatic Doppler frequency versus time with proposed and baseline schemes.
• Figure 5: Illustration of UAV trajectories' reconstruction.