IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Generation and Performance Evaluation of Distributed Interference Based on Multiple-Wavelet

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  • @INPROCEEDINGS{10.1007/978-3-030-44751-9_45,
        author={Xiaozhu Shi and Zichun Zhang},
        title={Generation and Performance Evaluation of Distributed Interference Based on Multiple-Wavelet},
        proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
        proceedings_a={IOTAAS},
        year={2020},
        month={6},
        keywords={Distributed interference Unmanned aerial vehicle (UAV) management and control Energy aggregating Wavelets cooperate},
        doi={10.1007/978-3-030-44751-9_45}
    }
    
  • Xiaozhu Shi
    Zichun Zhang
    Year: 2020
    Generation and Performance Evaluation of Distributed Interference Based on Multiple-Wavelet
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-44751-9_45
Xiaozhu Shi1,*, Zichun Zhang2
  • 1: State Key Laboratory of Air Traffic Management System and Technology
  • 2: Northwestern Polytechnical University
*Contact email: xidianshi1998@163.com

Abstract

Sensor networks are groups of specialized transducers that have a communications infrastructure which is intended to record and monitor conditions at different locations. Sensor network are widely adopted in distributed interference because they are lightweight, small and extremely portable. In order to ensure the safety of civil aviation, it is necessary to control and disperse the unmanned aerial vehicle (UAV). This paper proposed the precise distributed interference for the UAV management and control by aggregating interference signal energy at the specific point and in the specific area. First, the distance between the distributed jammers and the target point is given, and the time of different wavelets reach the target point is calculated. Then the initial phases of all the wavelets are adjusted so as to ensure all the wavelets reaching the peak value at the specific point. Finally, the interference generated in specific area is proposed to meet practical application requirements. The experiment results demonstrate that the proposed distributed interference method can be used for precise interference under UAV management and control and even in the dynamic warfare environments.