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《Journal of Air Force Radar Academy》 2006-01
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Intelligent Detection of FSK Signals by Using BP Neural Network

MENG Cang-zhen1,XU Xiang-dong2,ZHOU Sheng-xiang3(1.Department of Graduate Management,AFRA,Wuhan 430019,China;2.Department of Information & Command Automation,AFRA,Wuhan 430019,China;3.Department of Early Warning Detection Equipment,AFRA,Wuhan 430019,China)  
For detecting frequency-shift-keying(FSK) in heavy noise,a new method was proposed.By using the correlative information of the receivers ’FSK signal and the transmitted signal as the feature vector,and realizing the pattern classification based on BP neural network,the goal of intelligent detection of the FSK signal was achieved.By simulation it shows that the method can suppress the noise greatly and realize the intelligent detection of the FSK signal.
【CateGory Index】: TN915.1
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【Citations】
Chinese Journal Full-text Database 1 Hits
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 CHEN Man-tang, DU Pu-xuan (School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044,China);Measuring Frequency of Low FSK Signal Adapting Phase Deducted Method[J];Journal of Northern Jiaotong University;2004-03
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