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  4. Air target detection using navigation receivers based on GPS L5 signals
 
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Air target detection using navigation receivers based on GPS L5 signals

Publikationstyp
Conference Paper
Date Issued
2011
Sprache
English
Author(s)
Behar, Vera  
Kabakchiev, Hristo  
Rohling, Hermann  
Institut
Nachrichtentechnik E-8  
TORE-URI
http://hdl.handle.net/11420/12115
Volume
1
Start Page
333
End Page
337
Citation
Proceedings of the 24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011 ; Sept. 19 - 23, 2011, Oregon, Convention Center, Portland, Oregon. - Manassas, VA, 2011. - Vol. 1 (): 333-337 (2011)
Contribution to Conference
24th International Technical Meeting of the Satellite Division of the Institute of Navigation 2011, ION GNSS 2011  
Scopus ID
2-s2.0-84861378384
Publisher
Institute of Navigation
The secondary application of navigation receivers can be in Bistatic Radar (BS) with a non-cooperative transmitter. The classical variant of BS radar is concerned with the case when the bistatic angle β is smaller than 140°. The second variant of a BS system that is known as forward scattering radar (FSR) is considered in this paper. It is the case when the target is located close to the baseline and the target RCS is significantly enhanced compared to the typical values. Our hypothesis is that this is one of good variants to create the net of GPS fences for protection of very important objects. This paper presents several approaches for rough estimation of an air target detection performance using FSR with navigation receivers based on the GPS L5 signal and also for rough estimation of the the main lobe size (detection range and target shadow length) of in FS situation. The detection characteristics are calculated for the case when low-flying and poorly maneuverable (for example, helicopters) air targets are detected on the background of a white Gaussian noise, or in the presence of: Urban Interference Environment or a Stand-off-Jammer (SOJ).
DDC Class
600: Technik
620: Ingenieurwissenschaften
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