Pirsiavash, Ali2021-05-052021-05-052019-08Pirsiavash, A. (2019). GNSS Signal and Measurement Quality Monitoring for Multipath Detection and Mitigation [White paper]. Schulich School of Engineering, University of Calgary.http://hdl.handle.net/1880/113363NOTE: This work consists of a part and an extension of Dr. Pirsiavash’s doctoral thesis completed in January 2019 on Receiver-level Signal and Measurement Quality Monitoring for Reliable GNSS-based NavigationReceiver level Global Navigation Satellite Systems (GNSS) Signal and Measurement Quality Monitoring (SQM and MQM) to detect and de-weight measurements distorted by multipath are investigated. SQM and MQM monitoring metrics are defined at the tracking and measurement levels of the receiver; a new geometry-based de-weighting technique is developed. Following an analytical discussion of the sensitivity and effectiveness of the metrics, field data analysis is provided for static and kinematic modes to verify practical performance. Results obtained for the designed SQM and MQM-based detection metrics show reliable performance of 3 to 5 m Minimum Detectable Multipath Error (MDME). Although limited by multipath characteristics and measurement geometry, when detected faulty measurements are de-weighted, positioning performance improves by up to 53% for different multipath scenarios.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.report10.13140/RG.2.2.30314.26566