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A Novel Approach of Semi-blind Frequency Selection for HF Regional Emergency Maneuver Communication

  • Dai-hui Mo
  • Guo-jun Li
  • Xiao-fei Xu
  • Lu Tan
  • Ya-kun Xing
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)

Abstract

Shortwave regional mobile communication relies on regional ionospheric vertical detector for frequency forecast. The inherent properties of full band, high power and fixed detection result in the difficulty of real-time deployment in complex terrains. In this case, from the perspective of communication fusion detection, with comprehensive utilization of broadband passive monitoring and low SNR detection technology, we propose a semi-blind frequency selection mechanism for regional mobile shortwave communication. First, we acquire the optimal scanning frequency in the working frequency band based on the full range of passive monitoring, which abandons the electromagnetic pollution made by the full band scanning. This mechanism can act as the basis for the use of existing narrow band shortwave radio bidirectional detection. Then, we get the active optimal frequency perception based on the portable shortwave radio and the optimal frequency selection. Finally, we work out the problem of low efficiency and poor concealment in the high-power independent detection, which is of great significance to the promotion of the regional emergency mobile shortwave communication in complex environments.

Keywords

Cognitive radio Active detection system Passive frequency selection Real-time spectrum monitoring 

Notes

Acknowledgment

This work was supported in part by the National Natural Science Foundation of China (61671452), Natural Science Foundation of Chongqing(Cstc2015jcyjBX0078, Cstc2016jcyjA0556), Chongqing Society Livelihood Security Project(cstc2016shm-szx40003) and Chongqing Industry Key Technology Innovation Project(cstc2017z-dcyzdyfx0011).

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Dai-hui Mo
    • 1
    • 2
  • Guo-jun Li
    • 3
  • Xiao-fei Xu
    • 3
  • Lu Tan
    • 3
  • Ya-kun Xing
    • 3
  1. 1.Department of Electronic EngineeringTsinghua UniversityBeijingChina
  2. 2.Academy of Military Sciences PLA ChinaBeijingChina
  3. 3.HF Communications Engineering Lab of CQChongqing Communication CollegeChongqingChina

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