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An Experimental Study of Passive UAV Tracking with Digital Arrays and Cellular Downlink Signals

Yifei Sun, Chao Yu, Yan Luo, Tony Xiao Han, Haisheng Tan, Rui Wang, Francis C. M. Lau

TL;DR

The widely deployed long-term evolution (LTE) base station (BS) is exploited to illuminate UAVs in bistatic trajectory tracking and a target tracking framework is adopted to track the trajectory of the target UAV.

Abstract

Given the prospects of the low-altitude economy (LAE) and the popularity of unmanned aerial vehicles (UAVs), there are increasing demands on monitoring flying objects at low altitude in wide urban areas. In this work, the widely deployed long-term evolution (LTE) base station (BS) is exploited to illuminate UAVs in bistatic trajectory tracking. Specifically, a passive sensing receiver with two digital antenna arrays is proposed and developed to capture both the line-of-sight (LoS) signal and the scattered signal off a target UAV. From their cross ambiguity function, the bistatic range, Doppler shift and angle-of-arrival (AoA) of the target UAV can be detected in a sequence of time slots. In order to address missed detections and false alarms of passive sensing, a multi-target tracking framework is adopted to track the trajectory of the target UAV. It is demonstrated by experiments that the proposed UAV tracking system can achieve a meter-level accuracy.

An Experimental Study of Passive UAV Tracking with Digital Arrays and Cellular Downlink Signals

TL;DR

The widely deployed long-term evolution (LTE) base station (BS) is exploited to illuminate UAVs in bistatic trajectory tracking and a target tracking framework is adopted to track the trajectory of the target UAV.

Abstract

Given the prospects of the low-altitude economy (LAE) and the popularity of unmanned aerial vehicles (UAVs), there are increasing demands on monitoring flying objects at low altitude in wide urban areas. In this work, the widely deployed long-term evolution (LTE) base station (BS) is exploited to illuminate UAVs in bistatic trajectory tracking. Specifically, a passive sensing receiver with two digital antenna arrays is proposed and developed to capture both the line-of-sight (LoS) signal and the scattered signal off a target UAV. From their cross ambiguity function, the bistatic range, Doppler shift and angle-of-arrival (AoA) of the target UAV can be detected in a sequence of time slots. In order to address missed detections and false alarms of passive sensing, a multi-target tracking framework is adopted to track the trajectory of the target UAV. It is demonstrated by experiments that the proposed UAV tracking system can achieve a meter-level accuracy.
Paper Structure (18 sections, 75 equations, 9 figures, 3 tables, 1 algorithm)

This paper contains 18 sections, 75 equations, 9 figures, 3 tables, 1 algorithm.

Figures (9)

  • Figure 1: An example scenario of LIPASE.
  • Figure 2: The proposed signal processing scheme of LIPASE.
  • Figure 3: Geometry of passive sensing.
  • Figure 4: The experimental platform of LIPASE.
  • Figure 5: Overview of experiment scenario.
  • ...and 4 more figures