DocumentCode :
3335283
Title :
Noise modeling for global satellite aeronavigation systems
Author :
Kasperovych, Nathalie ; Shvets, Valerian ; Ostrovsky, Yaroslav
Author_Institution :
Nat. Aviation Univ., Kiev
fYear :
2008
fDate :
22-24 Sept. 2008
Firstpage :
310
Lastpage :
313
Abstract :
This paper describes implementation of Neiman method for random process with desired distribution parameters modeling. The models of noise created by Neiman method are used in noise recognition and classification system for global positioning system (GPS).
Keywords :
Global Positioning System; aerospace instrumentation; Global Positioning System; Neiman method; distribution parameters modeling; global satellite aeronavigation systems; noise modeling; noise recognition; random process; Global Positioning System; Interference; Jamming; Mathematical model; Military aircraft; Neural networks; Random processes; Satellite broadcasting; Satellite navigation systems; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Radar and Remote Sensing Symposium, 2008. MRRS 2008
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-2688-1
Electronic_ISBN :
978-1-4244-2689-8
Type :
conf
DOI :
10.1109/MRRS.2008.4669602
Filename :
4669602
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3335283
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