Dynamic Analysis of High Dynamic GNSS Signal Based on PMF-FFT

Abstract

GNSS signal, like GPS and BD2 signal, belongs to Direct Sequence Spread Spectrum(DSSS) signal, which requires receivers to synchronize with the carrier and pseudo-code of the received signals. In the method based on Partial Matched Filter(PMF) and Fast Fourier Transform(FFT), PMF fix on the code phase and Abstract. This paper focus on the GNSS(Global Navigation Satellite System) signal processing based on PMF(Partial Matching Filter)-FFT(Fast Fourier Transform), and a dynamic analysis method of high dynamic GNSS signal is proposed. PMF-FFT has a wide range of applications in GNSS signal acquisition, but no one ever apply it to signal tracking so far. Traditional tracking loop acceleration tolerance is smaller than 10g, but it can be up to 70g by this dynamic analysis method. Compared with the traditional method, dynamic analysis based on PMF-FFT make use of characteristic of high dynamic signal, receiver can get real-time Doppler shift frequency and estimate acceleration after PKF(Polynomial Kalman Filter) without external auxiliary information, and simplifies the signal tracking loop processing.