Abstract: | Precorrelation filtering, sampling, and quantization are three fundamental functions of receivers for GNSS signal processing. The joint effect of these design parameters has been a subject of interest ever since the first digital receivers were introduced. Analytical model and numerical simulation methods have been developed to evaluate the implementation losses due to different combinations of these parameters, first in the context of white noise and later in the context of both noise and GNSS interference. However, the performance metrics used for implementation was losses of effective carrier-to-noise density ratio (C/N0)in dB. This is not direct in predicting the performance degradation of the delay-lock loop (DLL), which is the most important function of a GNSS receiver and whose precise measurements are used to estimate the satellite’s pseudorange. In this regard, this paper proposes an analytical model to predict the DLL performance with loss of root-mean-squared (RMS) tracking error in meters as performance metrics. Besides, in the context of current project, a wideband Compass receiver capable of processing BPSK-R(2), BPSK-R(10) and TMBOC(6, 1, 4/33) signal is required to form the core of the GNSS Vulnerabilities Assessment and Validation Platform (VAVE). The method proposed in this paper was used to determine optimal combination of precorrelation bandwidth, sampling frequency, number of output levels of quantizer to guide design of VAVE receiver hardware. |
Published in: |
Proceedings of the 24th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2011) September 20 - 23, 2011 Oregon Convention Center, Portland, Oregon Portland, OR |
Pages: | 2076 - 2089 |
Cite this article: | Updated citation: Published in NAVIGATION: Journal of the Institute of Navigation |
Full Paper: |
ION Members/Non-Members: 1 Download Credit
Sign In |