Pirsiavash, AliBroumandan, AliLachapelle, Gérard2021-03-012021-03-012017-07-05Pirsiavash, A., Broumandan, A., & Lachapelle, G. (2017). Characterization of Signal Quality Monitoring Techniques for Multipath Detection in GNSS Applications. Sensors, 17(7), 1579. doi:10.3390/s17071579http://hdl.handle.net/1880/113125https://doi.org/10.11575/PRISM/46023The 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.engUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.signal processingnavigation reliability and integritymultipath detectionsignal quality monitoring (SQM)global navigation satellite systems (GNSS)journal articlehttp://dx.doi.org/10.3390/s17071579