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Dynamic Digital Channelizer Based on Spectrum Sensing

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  • Junpeng Hu
  • Zhen Zuo
  • Zhiping Huang
  • Zhi Dong

Abstract

The ability to efficiently channelize a received signal with dynamic sub-channel bandwidths is a key requirement of software defined radio (SDR) systems. The digital channelizer, which is used to split the received signal into a number of sub-channels, plays an important role in SDR systems. In this paper, a design of dynamic digital channelizer is presented. The proposed method is novel in that it employs a cosine modulated filter bank (CMFB) to divide the received signal into multiple frequency sub-bands and a spectrum sensing technique, which is mostly used in cognitive radio, is introduced to detect the presence of signal of each sub-band. The method of spectrum sensing is carried out based on the eigenvalues of covariance matrix of received signal. The ratio of maximum-minimum eigenvalue of each sub-band is vulnerable to noise fluctuation. This paper suggests an optimized method to calculate the ratio of maximum-minimum eigenvalue. The simulation results imply that the design of digital channelizer can effectively separate the received signal with dynamically changeable sub-channel signals.

Suggested Citation

  • Junpeng Hu & Zhen Zuo & Zhiping Huang & Zhi Dong, 2015. "Dynamic Digital Channelizer Based on Spectrum Sensing," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-11, August.
    • Handle: RePEc:plo:pone00:0136349
    DOI: 10.1371/journal.pone.0136349
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    Cited by:

    1. Bell, David & Lycett, Mark & Marshan, Alaa & Monaghan, Asmat, 2021. "Exploring future challenges for big data in the humanitarian domain," Journal of Business Research, Elsevier, vol. 131(C), pages 453-468.

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