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Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21–22, 2019, Proceedings, Part II

Research Article

Design of Anti-Co-Frequency Interference System for Wireless Spread Spectrum Communication Based on Internet of Things Technology

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  • @INPROCEEDINGS{10.1007/978-3-030-36405-2_6,
        author={Feng Jin and Ying Li and Wu-lin Liu},
        title={Design of Anti-Co-Frequency Interference System for Wireless Spread Spectrum Communication Based on Internet of Things Technology},
        proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2019},
        month={11},
        keywords={Wireless spread spectrum communication Internet of things Co-frequency interference Channel equalization Blind source separation},
        doi={10.1007/978-3-030-36405-2_6}
    }
    
  • Feng Jin
    Ying Li
    Wu-lin Liu
    Year: 2019
    Design of Anti-Co-Frequency Interference System for Wireless Spread Spectrum Communication Based on Internet of Things Technology
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-36405-2_6
Feng Jin1,*, Ying Li1, Wu-lin Liu1
  • 1: Information and Communication College, National University of Defense Technology
*Contact email: jf_phoenix@163.com

Abstract

An anti-co-frequency interference suppression method for wireless spread spectrum communication based on equivalent low-pass time-varying pulse modulation technology is proposed. The anti-co-frequency interference system for wireless spread spectrum communication is designed based on Internet of things technology, and the multi-path channel model for wireless spread spectrum communication is constructed. The Doppler spread technique is used to design the channel equalization of wireless spread spectrum communication system. The equivalent low-pass time-varying pulse modulation method is used to suppress the same-frequency interference and blind source separation. Improve the lossless transmission ability of the Internet of things (IoT) transmission signal in the wireless spread spectrum communication system. The simulation results show that this method is used to design the wireless spread spectrum communication system and the co-frequency interference is effectively suppressed and the bit error rate of communication is lower than that of the traditional method.

Keywords
Wireless spread spectrum communication Internet of things Co-frequency interference Channel equalization Blind source separation
Published
2019-11-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-36405-2_6
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