Title :
Sensor failure-test in repeatedly performed Bayesian identification tasks in air surveillance
Author_Institution :
Hochschule Furtwangen, Furtwangen, Germany
Abstract :
Identification in an air surveillance system is applied to a large number of tracks and can be implemented by means of Bayesian classification. Performed in an automated system, there is a strong need to monitor the identification process and contributing sensors by the operator. This paper describes two sensor failure-tests based on frequencies´ evaluation of conflicting evidence by statistical means. In a simulated air surveillance scenario, a Conflict Binomial and a Conflict Ratio Failure-Test are evaluated and compared, with particular respect to operationally relevant performance measures.
Keywords :
Bayes methods; aircraft communication; military communication; surveillance; telecommunication network reliability; wireless sensor networks; Bayesian classification; air surveillance system; conflict binomial failure-test; conflict ratio failure-test; repeatedly performed Bayesian identification tasks; sensor failure-test; statistical means; Atmospheric modeling; Bayes methods; Context; Force; Sensitivity; Surveillance; Naïve Bayes classifier; Sensor failure detection; air surveillance system; classification; conflict measure; conflicting evidence; failure test; identification; simulation;
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014
Conference_Location :
Bonn
DOI :
10.1109/SDF.2014.6954725
