The blind separation of wireless communication signals utilizing USRP

Author(s):  
Miao Yu
PIERS Online ◽  
2007 ◽  
Vol 3 (7) ◽  
pp. 1148-1150 ◽  
Author(s):  
Bengt B Arnetz ◽  
Torbjorn Akerstedt ◽  
Lena Hillert ◽  
Arne Lowden ◽  
N. Kuster ◽  
...  

2012 ◽  
Vol 263-266 ◽  
pp. 188-191
Author(s):  
Xiu Ying Sun ◽  
Peng Fei Xu

In this paper, a method for convolutive blind separation for communication sources is introduced. The method works in time-domain, and it is based on the recently very successful algorithm EFICA for Independent Component Analysis, which is an enhanced version of more famous FastICA. In addition, an automatic method of wavelet de-noising processing is proposed, using the 'mini-maxi' soft-threshold model, wavelet decomposition is performed at level 5 for the noisy separated communication signal, it can improve the performance of BSS system, and this is confirmed in the experiment for communication signals with same carrier frequencies and modulation.


2007 ◽  
Vol 168 (4) ◽  
pp. 480-492 ◽  
Author(s):  
Paul Smith ◽  
Niels Kuster ◽  
Sven Ebert ◽  
Hans-Jörg Chevalier

2006 ◽  
Vol 165 (2) ◽  
pp. 174-180 ◽  
Author(s):  
Da Yu ◽  
Yonghao Shen ◽  
Niels Kuster ◽  
Yiti Fu ◽  
Huai Chiang

Sign in / Sign up

Export Citation Format

Share Document