DocumentCode
2095381
Title
A New Method for Modulation Classification Based on Bootstrap Technique
Author
Wang, Feng ; Li, Bing-bing
Author_Institution
Nat. Key Lab. of ISN, Xidian Univ., Xian, China
Volume
2
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
11
Lastpage
14
Abstract
This paper presents a new method based on bootstrap technique for modulation recognition under the low SNR and multi-path conditions. The bootstrap method is performed when only few samples are available at the receiver. A new neural network is also proposed to select effective features and classifies signals. Extensive simulations show that the new method has preferable performance in low SNR and multi-path environment.
Keywords
modulation; neural nets; signal classification; SNR; bootstrap technique; modulation classification; modulation recognition; multipath conditions; multipath environment; neural network; signal classification; AWGN; Additive white noise; Computer science; Demodulation; Euclidean distance; Nearest neighbor searches; Neural networks; Pattern recognition; Software radio; Surveillance; Bootstrap; modulation classification; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3746-7
Type
conf
DOI
10.1109/ISCSCT.2008.27
Filename
4731561
Link To Document