Drone detection and tracking based on phase-interferometric Doppler radar

Michael Jian, Zhenzhong Lu, Victor C. Chen

2018 · 111 citations · 6 references

Concepts

Abstract

In this paper, drone detection and tracking based on phase-interferometry are investigated. Data collected by a simple dual-channel Doppler radar is used for implementing the joint range-Doppler-azimuth processing. Experimental results show that micro drones can be detected and tracked by applying the joint range-Doppler-azimuth processing. Features extracted from the range-Doppler-azimuth domain can be used to identify drones.

References

6