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University of Westminster

Low power, reduced complexity filtering and improved tracking accuracy for GNSS

Abstract

dc:description.abstract

This thesis addresses the power consumption problems resulting from the advent of multiple GNSS satellite systems which create the need for receivers supporting multi-frequency, multi-constellation GNSS systems. Such a multi-mode receiver requires a substantial amount of signal processing power which translates to increased hardware complexity and higher power dissipation which reduces the battery life of a mobile platform. During the course of the work undertaken, a power analysis tool was developed in order to be able to estimate the hardware utilisation as well as the power consumption of a digital system. By using the power estimation tool developed, it was established that most of the power was dissipated after the Analog to Digital Converter (ADC)by the filters associated with the decimation process. The power dissipation and the hardware complexity of the decimator can be reduced substantially by using a minimum-phase Infinite Impulse Response (IIR) filter. For Global Positioning System (GPS) civilian signals, the use of IIR filters does not deleteriously affect the positional accuracy. However, in the case where an IIR filter was deployed in a GLObalnaya NAvigatsionnaya Sputnikovaya Sistema (GLONASS) receiver, the pseudorange measurements of the receiver varied by up to 200 metres. The work undertaken proposes various methods that overcomes the pseudorange measurement variation and reports on the results that are on par with linear-phase Finite Impulse Response (FIR) filters. The work also proposes a modified tracking loop that is capable of tracking very low Doppler frequencies without decreasing the tracking performance.

Degree

thesis:*
Level dc:type.qualificationlevel
PhD thesis
Grantor dc:publisher.institution
University of Westminster
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cetinsel Sevket

Identifiers

dc:identifier.*
Identifier
oai:westminsterresearch.westminster.ac.uk:970w5
OAI identifier oai:identifier
oai:westminsterresearch.westminster.ac.uk:970w5

Chain of custody

source
Harvested from
University of Westminster
Base URL
westminsterresearch.westminster.ac.uk/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Cetinsel Sevket. Low power, reduced complexity filtering and improved tracking accuracy for GNSS. PhD thesis thesis, University of Westminster, 2014. https://doi.org/10.34737/970w5