Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (5): 35-40.doi: 10.13190/j.jbupt.2021-030

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Non-Data-Aided Estimation and Compensation of Amplitude, Frequency and Phase for Spectrum Combination

CHEN Jian-mei1, QIU Hong-bing1, ZHENG Lin1,2, YANG Chao1   

  1. 1. Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China;
    2. Science and Technology on Communication Networks Laboratory, Shijiazhuang 050081, China
  • Received:2021-03-26 Online:2021-10-28 Published:2021-09-06

Abstract: In cognitive radios,broadband signals need to be applied with spectrum division and combination filter banks to efficiently utilize spectrum holes. As the amplitude,frequency and phase of different sub-spectra are interfered by the wireless channel,when the sub-spectra are combined,the amplitude,frequency and phase errors distort the recombination signal,leading to the degradation of detection perfor-mance. A non-data-aided estimation and compensation algorithm is proposed. By utilizing the amplitude-frequency-phase consistency between adjacent sub-spectra in the transition band and performing the alignment process in the frequency domain,the amplitude,frequency and phase are modified before sub-spectra combination to recover the original signal. Simulation results show that the proposed algorithm can effectively solve the amplitude-frequency-phase distortion caused by sub-spectra segmentation. The bit error rate performance of the proposed algorithm is close to that of the pilot estimation algorithm with the same system parameters. The proposed algorithm can not only obtain high-precision amplitude-frequency-phase estimation and compensation,but also utilize spectrum efficiently.

Key words: spectrum division and combination filter banks, amplitude-frequency-phase consistent characteristics, non-data-aided estimation

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