Airborne Warning System Direction-Finding Based on Real-Time SNR Correction.

Jia Ding, Huaizong Shao, Haiwei Song, Jiawei Zhang, Fake Ding, Wen Zhang, Jie Liu, Jianxing Lv

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Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Jia DingSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Huaizong ShaoSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Haiwei SongNanhu Laboratory, Defined RF Chip and System Research Center, Jiaxing 314001, China.

Jiawei ZhangNanhu Laboratory, Defined RF Chip and System Research Center, Jiaxing 314001, China.

Fake DingNanhu Laboratory, Defined RF Chip and System Research Center, Jiaxing 314001, China.

Wen ZhangNanhu Laboratory, Defined RF Chip and System Research Center, Jiaxing 314001, China.

Jie LiuNanhu Laboratory, Defined RF Chip and System Research Center, Jiaxing 314001, China.

Jianxing LvNanhu Laboratory, Defined RF Chip and System Research Center, Jiaxing 314001, China.

Funding

This research was funded by Shenzhen Low altitude Economic Project Manager System Special Project of China Project No. Z25306101

6 · The paper itself

Abstract

The rapid advancement of unmanned aerial vehicle (UAV) technology has introduced increasingly severe airspace security challenges. As a critical component of counter-UAV systems, the direction-finding (DF) accuracy of airborne warning systems directly affects threat assessment and response efficiency. This paper addresses the problem of limited DF accuracy in airborne environments by proposing a direction-finding method that integrates attitude self-calibration with real-time signal-to-noise ratio (SNR) estimation. Based on the monopulse amplitude-phase comparison angle-measurement principle, the proposed method dynamically corrects the angle-discrimination curve using real-time SNR information and adaptively calibrates azimuth information by incorporating UAV attitude data. Simulation and experimental results demonstrate that the proposed method significantly reduces angle-measurement errors under low-SNR conditions, and attitude calibration further improves DF accuracy across the full angular range. Field experiments indicate that, after attitude calibration, the angle-measurement error is less than 2∘ in over 77% of the test points.

Indexed as

airborne warning systemattitude calibrationcounter-UAVdirection-findingmonopulse angle measurementSNR correction

Identifiers

PMID42655561

DOI10.3390/s26165253

PMCPMC13517493

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.