DocumentCode
175832
Title
The application of adaptive genetic algorithms in single-resistant radar jamming
Author
Pan Wei ; Liu Sili ; Dong Hongzhi
Author_Institution
Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
1322
Lastpage
1327
Abstract
This article uses the novelty and applicability of adaptive genetic algorithms for the development of advanced digital radio frequency memory jammer technology uses radar CFAR detection algorithm. As a major result, demonstrates how adaptive genetic algorithms can produce effective single-resistant interference. This is an important attribute when interference uncertain radar detection algorithms operate in real-world scenarios. Efficiency of energy efficiency of adaptive genetic algorithms jamming technology through more traditional noise technology.
Keywords
digital radio; genetic algorithms; jamming; radar detection; radar interference; adaptive genetic algorithms; advanced digital radio frequency memory jammer technology; interference uncertain radar detection algorithms; noise technology; radar CFAR detection algorithm; single-resistant radar jamming; Arrays; Doppler radar; Genetic algorithms; Jamming; Noise; Radar cross-sections; RCS; adaptive genetic algorithm; single-resistant radar jamming;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852371
Filename
6852371
Link To Document