• DocumentCode
    2035573
  • Title

    AOA selection algorithm for multiple GPS signals

  • Author

    Suk-seung Hwang ; Goo-Rak Kwon ; Jae-Young Pyun ; Seokjoo Shin

  • Author_Institution
    Dept. of Mechatron. Eng., Chosun Univ., Gwangju, South Korea
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    481
  • Lastpage
    485
  • Abstract
    The Global Positioning System (GPS) with various commercial and military applications is designed to estimate the location of the specific user or object. It requires at least four satellites to accurately estimate the location. Since GPS signals suffer from various high power interference signals and jammers, we employ efficient interference suppression techniques such as a minimum-variance distortionless-response (MVDR) beamformer or a generalized sidelobe canceler (GSC). Most of them require the GPS signal angle of arrival (AOA), and we utilize the Multiple Signal Classification (MUSIC) or Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT) to estimate GPS AOA. However, they must choose the GPS AOAs from all estimated AOAs when existing high power interference signals, because they include AOAs of the interference signals. In this paper, we propose the AOA choosing algorithm for multiple GPS signals in the environment of high-power interference signals. The proposed algorithm is based on the comparison of the estimated AOAs for the received signal before despreading and the output signal of the despreader, for choosing GPS AOAs. A representative computer simulation example is presented to illustrate the performance of the AOA choosing algorithm for the multiple GPS signals.
  • Keywords
    Global Positioning System; direction-of-arrival estimation; interference suppression; signal classification; AOA; AOA choosing algorithm; AOA selection algorithm; ESPRIT; GPS signal angle of arrival estimation; GSC; Global Positioning System; MUSIC; MVDR; computer simulation; estimation of signal parameter via rotational invariance techniques; generalized sidelobe canceler; high power interference signals; interference suppression techniques; jammers; minimum-variance distortionless-response beamformer; multiple GPS signals; multiple signal classification; Estimation; Global Positioning System; Interference; Multiple signal classification; Noise; Satellites; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810323
  • Filename
    6810323