TY - GEN
T1 - Vertical integrity monitoring with direct positioning
AU - Chu, Arthur Hsi Ping
AU - Gao, Grace Xingxin
N1 - Funding Information:
This research is funded by Air Force Research Laboratory Sensors Directorate (AFRL/RY), Wright-Patterson AFB, OH, under contract FA9453-15-1-0075.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/5
Y1 - 2018/6/5
N2 - The monitoring of GPS integrity is critical for preventing Harzardously Misleading Information (HMI) in safety-of-life applications. We propose an integrity monitoring algorithm based on Direct Position Estimation (DPE), an unconventional GPS receiver architecture. Without the need for intermediate pseudorange models, which are essential under conventional schemes, we are able to account for all sources of error collectively in the position domain, enabling more thorough protection against different modes of integrity threats. Using the correlation manifold provided by a generic DPE receiver, our algorithm characterizes the deformation of the manifold with a Gaussian distribution, which reflects the trust-worthiness of the DPE navigation solution. In this paper, we focus on the vertical aspect of our DPE-based integrity monitoring algorithm. This proposed algorithm was verified with live data to be able to provide indication for the presence of integrity threats, such as a degrading signal environment.
AB - The monitoring of GPS integrity is critical for preventing Harzardously Misleading Information (HMI) in safety-of-life applications. We propose an integrity monitoring algorithm based on Direct Position Estimation (DPE), an unconventional GPS receiver architecture. Without the need for intermediate pseudorange models, which are essential under conventional schemes, we are able to account for all sources of error collectively in the position domain, enabling more thorough protection against different modes of integrity threats. Using the correlation manifold provided by a generic DPE receiver, our algorithm characterizes the deformation of the manifold with a Gaussian distribution, which reflects the trust-worthiness of the DPE navigation solution. In this paper, we focus on the vertical aspect of our DPE-based integrity monitoring algorithm. This proposed algorithm was verified with live data to be able to provide indication for the presence of integrity threats, such as a degrading signal environment.
UR - http://www.scopus.com/inward/record.url?scp=85048878637&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048878637&partnerID=8YFLogxK
U2 - 10.1109/PLANS.2018.8373402
DO - 10.1109/PLANS.2018.8373402
M3 - Conference contribution
AN - SCOPUS:85048878637
T3 - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings
SP - 367
EP - 373
BT - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018
Y2 - 23 April 2018 through 26 April 2018
ER -