DocumentCode :
3862962
Title :
Modified communication emitter recognition method based on D-S theory
Author :
Yuan Su-Xin;Lu Shu-Jun;Wang Shi-Lian;Zhang Wei
Author_Institution :
National University of Defense Technology, School of Electronic Science and Engineering, Changsha, China
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
Aiming at the defects of the common communication emitter recognition method, that the targets can´t be recognized in the condition of low SNR, a modified communication emitter recognition method based on evidence reasoning theory is proposed. Characteristic selection and database reconstruction is applied to solve the problem of indistinct input, and the D-S algorithm of weighted averaging is applied to make inferences about signal characteristics in all levels which can avoid inefficient of data fusion. The simulation results confirm that the new method based on modified D-S theory can observably improve the performance of recognizing communication emitter for low SNR.
Keywords :
"Databases","Target recognition","Cognition","Data integration","Signal to noise ratio","Character recognition","Sensors"
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8918-8
Type :
conf
DOI :
10.1109/ICSPCC.2015.7338953
Filename :
7338953
Link To Document :
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