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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852371