Radar Detection of Unmanned Aerial Vehicles Based on Time-frequency Detection and Polarization Matching

Yong YANG; Xuesong WANG; Bin ZHANG

doi:10.11999/JEIT200768

Volume 43 Issue 3

Mar. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(3): 509-515

Yong YANG, Xuesong WANG, Bin ZHANG. Radar Detection of Unmanned Aerial Vehicles Based on Time-frequency Detection and Polarization Matching[J]. Journal of Electronics & Information Technology, 2021, 43(3): 509-515. doi: 10.11999/JEIT200768

Citation:

Yong YANG, Xuesong WANG, Bin ZHANG. Radar Detection of Unmanned Aerial Vehicles Based on Time-frequency Detection and Polarization Matching[J]. Journal of Electronics & Information Technology, 2021, 43(3): 509-515. doi: 10.11999/JEIT200768

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Radar Detection of Unmanned Aerial Vehicles Based on Time-frequency Detection and Polarization Matching

doi: 10.11999/JEIT200768

State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China

Funds: The National Natural Science Foundation of China (61625108, 61871385)

Received Date: 2020-08-15
Rev Recd Date: 2020-10-20

Available Online: 2021-02-18

Publish Date: 2021-03-22

Abstract

Abstract

Radar detection of Unmanned Aerial Vehicle (UAV) is a big problem. To address this problem, a detection method with dual polarization radar is proposed. First, radar reduces the detection threshold to make the UAV be detected by using the traditional two dimensional cell averaging constant false alarm probability detector in two polarization channels respectively. However, some false targets caused by clutter are also detected by radar at the same time. To eliminate these false targets, the detection results are integrated and the second detection is carried out for the integrated results in two polarization channels respectively. Then, the second detection results in two polarization channels are matched to further eliminate the false targets. Outdoor experiment is carried out. The processing results for the real data demonstrate that the second types of UAV can be effectively detected and the false targets caused by clutter can be eliminated at the same time with the proposed method.
- Radar,
- Unmanned Aerial Vehicle (UAV),
- Dual polarization,
- Detection,
- Clutter,
- False alarm probability

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References(21)

References

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