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Sensors 2017, 17(7), 1579; https://doi.org/10.3390/s17071579

Characterization of Signal Quality Monitoring Techniques for Multipath Detection in GNSS Applications

Position, Location and Navigation (PLAN) Group, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
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Received: 10 June 2017 / Revised: 1 July 2017 / Accepted: 3 July 2017 / Published: 5 July 2017
(This article belongs to the Section Remote Sensors)

Abstract

The performance of Signal Quality Monitoring (SQM) techniques under different multipath scenarios is analyzed. First, SQM variation profiles are investigated as critical requirements in evaluating the theoretical performance of SQM metrics. The sensitivity and effectiveness of SQM approaches for multipath detection and mitigation are then defined and analyzed by comparing SQM profiles and multipath error envelopes for different discriminators. Analytical discussions includes two discriminator strategies, namely narrow and high resolution correlator techniques for BPSK(1), and BOC(1,1) signaling schemes. Data analysis is also carried out for static and kinematic scenarios to validate the SQM profiles and examine SQM performance in actual multipath environments. Results show that although SQM is sensitive to medium and long-delay multipath, its effectiveness in mitigating these ranges of multipath errors varies based on tracking strategy and signaling scheme. For short-delay multipath scenarios, the multipath effect on pseudorange measurements remains mostly undetected due to the low sensitivity of SQM metrics. View Full-Text
Keywords: global navigation satellite systems (GNSS); signal quality monitoring (SQM); multipath detection; navigation reliability and integrity; signal processing global navigation satellite systems (GNSS); signal quality monitoring (SQM); multipath detection; navigation reliability and integrity; signal processing
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Pirsiavash, A.; Broumandan, A.; Lachapelle, G. Characterization of Signal Quality Monitoring Techniques for Multipath Detection in GNSS Applications. Sensors 2017, 17, 1579.

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