• DocumentCode
    3220815
  • Title

    SVD-based denoising algorithm for TH-PPM UWB signal in AWGN channel

  • Author

    Xu, Jianmin ; Wang, Yufeng

  • Author_Institution
    Sci. & Technol. on Commun. Inf. Security Control Lab., Jiaxing, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    351
  • Lastpage
    354
  • Abstract
    In this paper, a novel denoising technique based on singular value decomposition (SVD) algorithm for a UWB system with Time hopping (TH) and pulse position modulation (PPM) are considered is presented. According to the different correlation about UWB signals and Gaussian noises themselves, SVD is used to approximate the noises which then are subtracted from the received signals. Aiming at shortcomings of existing singular value truncation criterion, this paper use a new method to decide the threshold for SVD filter (SVDF), based on the value of signal to noise ratio (SNR). Simulations have demonstrated that an efficient elimination of noise on UWB signal and an improvement on Bit error rate (BER) are achieved by comparing our algorithm with the EMD method.
  • Keywords
    AWGN channels; error statistics; filtering theory; pulse position modulation; signal denoising; singular value decomposition; ultra wideband communication; AWGN channel; BER; EMD method; SNR; SVD filter; SVD-based denoising algorithm; SVDF; TH-PPM UWB signal; additive white Gaussian noise channel; bit error rate; signal to noise ratio; singular value decomposition-based denoising algorithm; singular value truncation criterion; time hopping-pulse position modulation UWB signal; Bit error rate; Noise measurement; Noise reduction; Signal processing algorithms; Signal to noise ratio; Singular value decomposition; bit error rate; noise elimination; singular value decomposition; ultra wide band;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6013731
  • Filename
    6013731