Publication Date

2017

Document Type

Thesis

Committee Members

John Macdonald (Committee Member), Brian Rigling (Advisor), Arnab Shaw (Committee Member)

Degree Name

Master of Science in Electrical Engineering (MSEE)

Abstract

Many current GNSS Software Defined Receivers (SDRs) are often limited in what they can do across a range of developmental applications. They cannot perform acquisition and tracking without several iterations of coding, which does not allow for fast processing. This work provides a Matlab SDR that is based on freely available and optimized components that can be applied to all GNSS signals. A previous basis has been expanded upon to perform tracking of QZSS signals. In addition to this, two separate hardware front ends were compared and their differences analyzed. These hardware systems collected data with different disciplining clocks, but there was no evidence to show that a significant difference occurred depending on the clock type.

Page Count

47

Department or Program

Department of Electrical Engineering

Year Degree Awarded

2017


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