GNSS Signal and Measurement Quality Monitoring for Multipath Detection and Mitigation

Abstract
Receiver 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.
Description
NOTE: 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 Navigation
Keywords
Citation
Pirsiavash, A. (2019). GNSS Signal and Measurement Quality Monitoring for Multipath Detection and Mitigation [White paper]. Schulich School of Engineering, University of Calgary.