Joint Determination of Precorrelation Bandwidth, Sampling Frequency and Quantization in Wideband Compass Receivers

Abstract

Precorrelation filtering, sampling, and quantization are three fundamental functions for GNSS receivers. 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 non-white interference. However, the performance metric was loss of effective carrier-to-noise density ratio (C/N0). This is indirect in predicting the performance degradation of a delay-lock loop (DLL). This paper proposes an analytical model to predict the DLL performance with loss of root-mean-squared (RMS) tracking accuracy in meters. In the current project, a wideband Compass receiver capable of processing modern GNSS signals is required to form the core of the GNSS Vulnerabilities Assessment and Validation Platform (VAVE). The method proposed was used to determine the optimal combination of precorrelation bandwidth, sampling frequency, and quantization to guide the design of VAVE receiver hardware. Here optimality means highest possible performance with minimized implementation cost. Copyright © 2012 Institute of Navigation