• DocumentCode
    2132431
  • Title

    A novel joint parameter estimation method of single-channel and time-frequency overlapped multi-component signal

  • Author

    Lihui Pang ; Conghui Qi

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    124
  • Lastpage
    127
  • Abstract
    In this paper, a novel algorithm is proposed, which focus on estimating the period of independent source and the source number of the multi-component signal that recorded by single antenna and overlapped both in time and frequency domain. The method adopts the technique of changing single-channel recording vector into virtual multi-channel measurement matrix, and then using Singular Value Decomposition (SVD) method decompose this matrix. By changing the virtual multi-channel measure matrix, singular value ratio (SVR) spectrum can be got. By searching the peaks of the SVR, the period of the independent components can be estimated effectively, and based on the correlation coefficient between each estimated components obtain useful SVD, then the number of original source will be got. The simulation results demonstrate the effectiveness of the algorithm. What is more, the high estimated accuracy of this method under low signal-noise-ratio (SNR) condition also illustrated by the simulation.
  • Keywords
    antennas; blind source separation; correlation theory; independent component analysis; parameter estimation; singular value decomposition; time-frequency analysis; wireless channels; SNR; SVD; SVR; antenna; blind signal separation; correlation coefficient; independent component estimation; independent source period estimation; joint parameter estimation method; matrix decomposition; signal-noise-ratio; single channel recording vector; singular value decomposition; singular value ratio; time-frequency overlapped multicomponent signal; virtual multichannel measurement matrix; Accuracy; Correlation coefficient; Estimation; Joints; Matrix decomposition; Signal to noise ratio; Simulation; SVD; SVR; single-input multi-output(SIMO); time-frequency overlapped;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2013
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/CSQRWC.2013.6657368
  • Filename
    6657368