• DocumentCode
    2263729
  • Title

    Study of Direct Acquisition of GPS P-Code in Low-SNR

  • Author

    Jian, Li ; Feng, Liu ; Teng, Long

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    XFAST and average-method are two typical methods for GPS P-code acquisition in frequency domain. This study compares the performance of P-code direct acquisition using the two methods, analyzes the feasibility of direct P-code acquisition in low-SNR according to Average-Method, conducts MATLAB simulation and tries to configure a hardware realization method based on large-point FFT with fixed-point data format in FPGA. The new method can satisfy the detecting rate 90% and false alarm rate 10-7 under -134 dBm input signal power with the lowest hardware resources compared with those of XFAST and direct FFT and shorten the acquisition time. The hardware system based on FPGA was designed and verified to be able to meet the design requirement.
  • Keywords
    Global Positioning System; fast Fourier transforms; field programmable gate arrays; pseudonoise codes; synchronisation; FPGA; GPS P-code; MATLAB simulation; XFAST; average-method; direct acquisition; extended replica folding acquisition search technology; fixed-point data format; hardware realization method; large-point FFT; low-SNR; Analytical models; Field programmable gate arrays; Frequency domain analysis; Global Positioning System; Hardware; Information technology; MATLAB; Navigation; Performance analysis; Radar applications; average method; direct acquisition of P-code; hardware system; low-SNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.349
  • Filename
    4739765