• DocumentCode
    1671379
  • Title

    Reconfigurable adaptive linear array signal processing in GNSS applications

  • Author

    Xiangrong Wang ; Aboutanios, Elias

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2013
  • Firstpage
    4154
  • Lastpage
    4158
  • Abstract
    The configuration of an antenna array plays a fundamental role in the ability of array signal processing to mitigate interference. We propose in this paper a novel reconfigurable adaptive linear array scheme to overcome the drawbacks of traditional array processing. We employ the effective carrier to noise density ratio (C/N0), which is a reliable measure of the performance in the Global Navigation Satellite Systems (GNSS) applications, expressing its dependence on the spatial separation through the Spatial Correlation Coefficient (SCC), with a lower SCC giving better interference mitigation performance. We then formulate the problem of determining the optimal orientation of a linear array in terms of the minimization of SCC. Simulation results show that the proposed method is effective in reducing the SCC and improving the effective C/N0. Finally, we propose a practical implementation where the array orientation is chosen from a number of present orientations.
  • Keywords
    adaptive signal processing; antenna arrays; array signal processing; interference suppression; minimisation; satellite navigation; GNSS application; SCC minimization; adaptive linear array signal processing; antenna array; carrier-to-noise density ratio; global navigation satellite system; interference mitigation; optimal orientation; reconfigurable linear array signal processing; spatial correlation coefficient; spatial separation; Antennas; Arrays; Direction-of-arrival estimation; Interference; Noise; Receivers; Vectors; DOA; GNSS; Reconfigurable adaptive linear array; SCC; STAP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638441
  • Filename
    6638441