Evaluation of advanced receiver autonomous integrity monitoring performance on predicted aircraft trajectories

Abstract

Abstract-The development of new GNSS constellations, and the modernization of existing ones, has increased the availability and the number of satellites-in-view, paving the way for new navigation algorithms and techniques. These offer the opportunity to improve the navigation performance while at the same time potentially reducing the support which has to be provided by Ground and Satellite Based Augmented Systems (GBAS and SBAS). These enhanced future capabilities can enable GNSS receivers to serve as a primary means of navigation, worldwide, and have provided the motivation for the Federal Aviation Administration ( In this paper, we will evaluate the ARAIM performance in simulated operational configurations. Aircraft flights can last for hours and on-board receivers don't always have a full view of the sky. Attitude changes from manoeuvers, obscuration by the aircraft body and shadowing from the surrounding environment could all affect the incoming signal from the GNSS constellations, leading to configurations that could adversely affect the real performance. For this reason, the main objective of the algorithm developed in this research project is to analyse these shadowing effects and compute the performance of the ARAIM technique when integrated with a predicted flight path using different combinations of three constellations (GPS, GLONASS and Galileo), considered as fully operational.

Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations

“…In [8] we analysed ARAIM performance prediction for different approach routes in several airports around the World in order to prove the concept. The newly developed algorithm, named APPATT (ARAIM Performance on Predicted Trajectories Tool), has the main objective of computing the four parameter indices of the reliability of the navigation solution provided by GNSS, but with two main differences:…”

“…For further details refer to [8]: The results show that the aircraft attitude and the surrounding environment affect the performance of the ARAIM algorithm; each satellite lost generates a degradation of the performance parameters that depends on the total number of satellites in view, their relative geometry and on the number of satellites which are simultaneously lost . The single GPS constellation configuration could not be enough to comply with the necessary requirements for LPV-200 approaches (the same results were obtained with GLONASS and Galileo individually).…”

“…Though, the operational configuration was not examined; attitude changes from manoeuvres, obscuration by the aircraft body and shadowing from the surrounding environment could all affect the incoming signal from the GNSS constellations, leading to configurations that could adversely affect the real performance. In [8] we presented the ARAIM performance in simulated operational configurations. The results showed that the aircraft attitude and the surrounding environment affect the performance of the ARAIM algorithm; each satellite lost generates a peak in the performance parameters that depends on the total number of satellites in view, their relative geometry and on the number of satellites lost at the same time.…”

“…Section III briefly revisits the results presented in [8] with the ARAIM Performance on Predicted Aircraft Trajectory Tool Short-Term version (APPATT ST), designed to assist pilots in the pre-flight operations.…”

Characteristics of BDS Signal-in-Space User Ranging Errors and Their Effect on Advanced Receiver Autonomous Integrity Monitoring Performance

“…The ARAIM algorithm is affected by several error sources. These errors can be divided into errors that arise in navigation satellites, affect signals during propagation, and emerge from the receiver or its surrounding environment [2]. This paper focus on analyzing the errors that arise in navigation satellites, such errors are called Signal-In-Space Errors (SISEs).…”