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Sensors 2017, 17(10), 2171; https://doi.org/10.3390/s17102171

Complete Systematic Error Model of SSR for Sensor Registration in ATC Surveillance Networks

Signals, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid 28040, Spain
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Received: 14 July 2017 / Revised: 29 August 2017 / Accepted: 19 September 2017 / Published: 21 September 2017
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Abstract

In this paper, a complete and rigorous mathematical model for secondary surveillance radar systematic errors (biases) is developed. The model takes into account the physical effects systematically affecting the measurement processes. The azimuth biases are calculated from the physical error of the antenna calibration and the errors of the angle determination dispositive. Distance bias is calculated from the delay of the signal produced by the refractivity index of the atmosphere, and from clock errors, while the altitude bias is calculated taking into account the atmosphere conditions (pressure and temperature). It will be shown, using simulated and real data, that adapting a classical bias estimation process to use the complete parametrized model results in improved accuracy in the bias estimation. View Full-Text
Keywords: bias estimation; radar modeling; measurement error; air traffic control; sensor fusion bias estimation; radar modeling; measurement error; air traffic control; sensor fusion
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Jarama, Á.J.; López-Araquistain, J.; Miguel, G.; Besada, J.A. Complete Systematic Error Model of SSR for Sensor Registration in ATC Surveillance Networks. Sensors 2017, 17, 2171.

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