Closed-form correlative coding (CFC/sub 2/) blind identification of MIMO channels: isometry fitting to second order statistics

2001 ◽  
Vol 49 (5) ◽  
pp. 1073-1086 ◽  
Author(s):  
J. Xavier ◽  
V.A.N. Barroso ◽  
J.M.F. Moura
Keyword(s):  
Closed Form ◽  
Order Statistics ◽  
Second Order ◽  
Blind Identification ◽  
Mimo Channels ◽  
Second Order Statistics

A New Blind Source Separation Algorithm in Application of Over-Determined Mode under Lower SNR

2010 ◽  
Vol 139-141 ◽  
pp. 2132-2135
Author(s):  
Ping Wang ◽  
Jian Chen ◽  
Ji Xiang Lu
Keyword(s):  
Time Delay ◽  
Order Statistics ◽  
Blind Source Separation ◽  
Correlation Matrix ◽  
Second Order ◽  
Blind Identification ◽  
Separation Algorithm ◽  
Communication Signals ◽  
Second Order Statistics ◽  
Modulation Methods

The paper proposes a new BSS algorithm based on the second-order statistics. By jointly diagonalizing the time delay correlation matrix of the observed signals and using the improved new non-orthogonal joint diagonalization (NOJD) method, a better solution is achieved. The proposed algorithm can successfully separate communication signals under SNR as low as 10dB and the over-determined mode regardless of the signals’ modulation methods. Signal to Interference Noise Ratio (SINR) is used to prove the superiority of the proposed algorithm over the classical Second-Order Blind Identification (SOBI).

Some further results on blind identification of MIMO FIR channels via second-order statistics

2007 ◽  
Vol 87 (6) ◽  
pp. 1434-1447 ◽  
Author(s):  
Jun Fang ◽  
A. Rahim Leyman ◽  
Yong Huat Chew ◽  
Huiping Duan
Keyword(s):  
Order Statistics ◽  
Second Order ◽  
Blind Identification ◽  
Second Order Statistics
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