The Joint Phantom Track Deception and TDOA/FDOA Localization Using UAV Swarm without Prior Knowledge of Radars&rsquo; Precise Locations

Wang, Yubing; Wang, Weijia; Zhang, Xudong; Wu, Lirong; Yin, Hang

doi:10.3390/electronics11101577

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The Joint Phantom Track Deception and TDOA/FDOA Localization Using UAV Swarm without Prior Knowledge of Radars’ Precise Locations

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Beijing Blue Sky Innovation Center for Frontier Science, Beijing 100085, China

Institute of Systems Engineering, Military Academy of Sciences, Beijing 100085, China

Authors to whom correspondence should be addressed.

Academic Editor: Hamid Reza Karimi

Electronics 2022, 11(10), 1577; https://doi.org/10.3390/electronics11101577

Received: 25 March 2022 / Revised: 4 May 2022 / Accepted: 7 May 2022 / Published: 14 May 2022

(This article belongs to the Special Issue Latest Theoretical and Technological Advancements in Nonlinear Adaptive Control and Decision-Making)

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Abstract

This paper develops the model of the joint phantom track deception and the joint techniques of time-difference of arrival (TDOA) and frequency-difference of arrival (FDOA) localization to deceive air defense radar networks under the condition that an unmanned aerial vehicle (UAV) swarm has no prior knowledge of the radars’ precise locations, and related performance experiment and analysis are presented to demonstrate the effectiveness of the proposed method and to clarify the influence factors of phantom track deception. The main contributions of this paper are as follows. Firstly, the model of phantom track deception against a radar network by UAV swarm without prior knowledge of the radars’ positions are established. Secondly, TDOA/FDOA are adapted to locate networked enemy radars using UAV swarm, where the Fisher information matrix (FIM) is derived to evaluate the estimation accuracy. Thirdly, the uncertainty analysis consisting of radar location error and UAV position error is deduced. With these efforts, the integrated capability of sensing and jamming is realized. Moreover, the same source testing using space resolution cell (SRC) from the perspective of a radar network is executed to provide guidance for phantom track design. Finally, performance experiment and analysis are given to verify the theoretical analysis with simulation results. View Full-Text

Keywords: phantom track deception; UAV swarm; TDOA/FDOA localization; fisher information matrix (FIM); performance analysis; joint optimization; space resolution cell (SRC)

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MDPI and ACS Style

Wang, Y.; Wang, W.; Zhang, X.; Wu, L.; Yin, H. The Joint Phantom Track Deception and TDOA/FDOA Localization Using UAV Swarm without Prior Knowledge of Radars’ Precise Locations. Electronics 2022, 11, 1577. https://doi.org/10.3390/electronics11101577

AMA Style

Wang Y, Wang W, Zhang X, Wu L, Yin H. The Joint Phantom Track Deception and TDOA/FDOA Localization Using UAV Swarm without Prior Knowledge of Radars’ Precise Locations. Electronics. 2022; 11(10):1577. https://doi.org/10.3390/electronics11101577

Chicago/Turabian Style

Wang, Yubing, Weijia Wang, Xudong Zhang, Lirong Wu, and Hang Yin. 2022. "The Joint Phantom Track Deception and TDOA/FDOA Localization Using UAV Swarm without Prior Knowledge of Radars’ Precise Locations" Electronics 11, no. 10: 1577. https://doi.org/10.3390/electronics11101577

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The Joint Phantom Track Deception and TDOA/FDOA Localization Using UAV Swarm without Prior Knowledge of Radars’ Precise Locations

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