DocumentCode :
1102750
Title :
Radar Detection and Classification of Jamming Signals Belonging to a Cone Class
Author :
Greco, Maria ; Gini, Fulvio ; Farina, Alfonso
Author_Institution :
Univ. of Pisa, Pisa
Volume :
56
Issue :
5
fYear :
2008
fDate :
5/1/2008 12:00:00 AM
Firstpage :
1984
Lastpage :
1993
Abstract :
This paper considers the problem of detecting and classifying a radar target signal and a jamming signal produced by a deception electronic counter measure (ECM) system based on a digital radio frequency memory (DRFM) device. The disturbance is modeled as a complex correlated Gaussian process. The jamming is modeled as a signal belonging to a cone whose axis is the true target signal. Two different approaches are analyzed, based on the adaptive coherent estimator (ACE) and on the generalized likelihood ratio test (GLRT), yielding both to a two-block device. The performance of the two detection/classification algorithms are evaluated, analytically, when possible, and by Monte Carlo simulation.
Keywords :
Gaussian processes; Monte Carlo methods; adaptive estimation; correlation methods; digital radio; electronic countermeasures; jamming; radar detection; radar signal processing; radar tracking; signal classification; Monte Carlo simulation; adaptive coherent estimator; complex correlated Gaussian process; cone class; deception electronic counter measure system; digital radio frequency memory device; generalized likelihood ratio test; radar jamming signal; radar target signal classification; radar target signal detection; ACE; DRFM; adaptive radar; jamming; radar countermeasures; radar detection; radar signal analysis; radar signal processing; radar target recognition;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2007.909326
Filename :
4472184
Link To Document :
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