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Upcoming Webinar

Air Data Fault Detection and Isolation for Small UAS Using Integrity Monitoring Framework
Thursday, October 28, 2021 at 1:00 p.m. EDT

Presented by: Kerry Sun, University of Minnesota Twin Cities

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A Fault Detection and Isolation (FDI) algorithm is developed to protect against Water-Blockage (WB) pitot tube failure in the safety-critical Air Data System (ADS) used on small Unmanned Aircraft Systems (UAS). The algorithm utilizes two identical Synthetic Air Data Systems (SADS) as the basis for state estimation. Each SADS works independently with a pitot tube while sharing an IMU and GNSS receiver. The fault detection is designed using the integrity monitoring framework, and the isolation is obtained via independent fault detection channels. The ADS requirements are established, and the WB failure mode is analyzed based on real faulty air data. A new residual-based test statistic is introduced, and the link among the test statistic, observability matrix, and Minimal Detectable Error (MDE) are examined. Finally, a flight data set with a known water-blockage fault signature is used to assess the algorithm’s performance in terms of the air data protection levels and alert limits.

Webinar Archive

Date Title Presented By
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Sept. 14, 2021 Performance assessment of GNSS diffraction models in urban areas Guohao Zhang and Dr. Li-Ta Hsu
August 17, 2021 Overbounding the effect of uncertain Gauss-Markov noise in Kalman filtering Dr. Steve Langel
July 23, 2021 GNSS Spoofing Detection through Spatial Processing Dr. Fabian Rothmaier
June 28, 2021 Factor Graph Optimization for GNSS/INS Integration: A Comparison with the Extended Kalman Filter Dr. Li-Ta Hsu
June 15, 2021 GAO Report, “Defense Navigation Capabilities” Chi Mai and Jenn Beddor, U.S. GAO
May 27, 2021 Hurricane Hunters: Navigating a Plane through a Hurricane Lt. Cmdr. Brian Richards
May 11, 2021 Multi‐slices navigation approach for unknown 3D environments using micro aerial vehicles Dr. Haytham Mohamed
April 20, 2021 GNSS interference mitigation: A measurement and position domain assessment Dr. Daniele Borio and Dr. Ciro Gioia
March 23, 2021 Navigation of the Mars 2020 Perseverance Rover from Earth to Jezero Crater Dr. Gerhard Kruizinga

February 18, 2021

Effect of GPS III weighted voting on P(Y) receiver processing performance Dr. Karl Kovach

December 10, 2020

Automatic detection of ionospheric scintillation-like GNSS satellite oscillator anomaly using a machine-learning algorithm Yunxiang (Leo) Liu and Dr. Y. Jade Morton
November 12, 2020 Residual-based multi-filter methodology for all-source fault detection, exclusion, and performance monitoring Dr. Juan Jurado
October 22, 2020

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Dr. Kevin Brink
August 20, 2020

Multi-Constellation ARAIM Exploiting Satellite Motion

Dr. Mathieu Joerger
July 9, 2020

Improving Environment Detection by Behavior Association for Context-Adaptive Navigation

Dr. Han Gao
June 25, 2020

When GNSS fails, what will you do? MarRINav!
Co-sponsored by ION, the Resilient Navigation and Timing Foundation, and the Royal Institute of Navigation

Jonathan Turner, Alan Grant and Dana Goward
May 28, 2020 Impact of Sample Correlation on SISRE Overbound for ARAIM Dr. Santiago Perea
April 16, 2020 Flight Results of GPS-Based Attitude Determination for the Canadian CASSIOPE Satellite Dr. André Hauschild
March 5, 2020 Gaussian-Pareto Overbounding of DGNSS Pseudoranges from CORS Dr. Jordan D. Larson
December 5, 2019 LTE Receiver Design and Multipath Analysis for Navigation in Urban Environments Kimia Shamaei and Zak Kassas