• DocumentCode
    2991183
  • Title

    Spread Spectrum Sequence Estimation in Acoustic Non-Cooperative Communication System

  • Author

    Zhang Xiaoming

  • Author_Institution
    Underwater Acoust. Signal Process. Lab., Southeast Univ., Nanjing, China
  • fYear
    2009
  • fDate
    18-20 Jan. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An effective algorithm is proposed to estimate the spread spectrum sequence in direct spread spectrum sequence (DSSS) signal with the non-stationary noise for the underwater acoustic non-cooperative communication system. Conventional estimators are generally ineffective in detecting signals under low signal-to-noise ratio (SNR). The estimator proposed in this paper only needs the demodulation for the intercepted data sequence and time synchronization in advance. The first step is to realize the synchronization of the sequence by comparing different position values of the received signals. The second step is to estimate the direct spread spectrum sequence with the preprocessed data sequence after all the synchronizations have been accomplished derived separately. Computer simulation results show the blind estimator has reliable performance under different SNRs.
  • Keywords
    noise; spread spectrum communication; underwater acoustic communication; DSSS signal; SNR; blind estimator; demodulation; direct spread spectrum sequence signal; nonstationary noise; signal-to-noise ratio; spread spectrum sequence estimation; synchronization; time synchronization; underwater acoustic noncooperative communication; Acoustic noise; Acoustic signal detection; Oceans; Signal detection; Signal processing; Signal processing algorithms; Signal to noise ratio; Spread spectrum communication; Stochastic processes; Underwater acoustics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5272-9
  • Type

    conf

  • DOI
    10.1109/CNMT.2009.5374779
  • Filename
    5374779