DocumentCode :
2607822
Title :
Adaptive radar detection: A subspace identification approach
Author :
Bandiera, Francesco ; Orlando, Danilo ; Ricci, Giuseppe ; Scharf, Louis L.
Author_Institution :
DII, Univ. of Salento, Lecce, Italy
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
243
Lastpage :
246
Abstract :
We address adaptive detection of Swerling 2 pulse trains by an array of antennas. The disturbance is modeled in terms of a state space model and the ideas of subspace identification are used to come up with a GLRT-based detector. Such detector is compared by Monte Carlo simulation with a Kelly´s detector derived assuming that returns are temporally uncorrelated (but spatially correlated) and that a proper set of secondary data is available.
Keywords :
Monte Carlo methods; adaptive radar; antenna arrays; radar detection; state-space methods; GLRT based detector; Kelly detector; Monte Carlo simulation; adaptive radar detection; antenna array; pulse train; state space model; subspace identification approach; Adaptation model; Arrays; Covariance matrix; Detectors; Radar detection; Signal to noise ratio; Adaptive Radar Detection; Subspace identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Information Processing (CIP), 2010 2nd International Workshop on
Conference_Location :
Elba
Print_ISBN :
978-1-4244-6457-9
Type :
conf
DOI :
10.1109/CIP.2010.5604250
Filename :
5604250
Link To Document :
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