Motion Analysis Using Global Navigation Satellite System and Physiological Data

This article presents the results of studies of the algorithm for the integrated processing of information from satellite navigation systems (SNS) and on-board sensors of motion parameters (BS) to identify their malfunctions and failures. As a basic principle for detecting faults and failures, it is proposed to use a method for determining the location of a moving object in space by imposing restrictions related to its dynamic properties. This method assumes, basing on the dynamic capabilities of the object to move in space, according to the BS data, to predict the space region of the possible location of the object at the time of subsequent navigation measurements. The corrected location of the object is considered to be the intersection of the spatial areas of subsequent navigational measurements with previously predicted spatial areas. Due to failures and malfunctions of the SNS or BS, this intersection area may be absent or exceed the established threshold level. Such a situation is possible when the measured parameters go beyond the established error, as well as failures of the SNS or BS. When objects pass through “affected areas” in separate sections of the trajectory due to destabilizing factors (weather conditions, terrain, interference, re-reflections, radio countermeasures, etc.), the measurement error of the SNS or BS equipment is not constant and increases sharply. To identify in which of the SNS or BS systems a failure occurred, it is proposed to use the means of correlation analysis.