Paper Information

Journal:   JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING   NOVEMBER 2013 , Volume 2 , Number 7; Page(s) 16 To 23.
 
Paper: 

APPLICATION OF NON-LINEAR FUNCTIONS AT DISTRIBUTION OF OUTPUT SINR GAUSSIAN INTERFERENCE CHANNELS

 
 
Author(s):  SEDGHI TOHID, SHAFEI SHAHIN
 
* 
 
Abstract: 

We have examined the convergence behavior of the LSCMA in some simple environments. Algorithms such as Multi Target CMA, Multistage CMA, and Iterative Least Squares with Projection can be used for this purpose. The results presented here can form a basis for analysis of these multi-signal extraction techniques. Clearly, the variance and distribution of output SINR obtained with the LSCMA is also an important area for investigation. We finally comment on the hard-limit non-linearity. For high SIR, the hard-limiter is the optimal non-linearity when the desired signal has a constant envelope. However, at low SIR other non-linearities can yield greater SIR gain. Thus, it is possible that non-linear functions other than the hard-limit can be used to develop blind adaptive algorithms, which converge faster for low initial SINR.

 
Keyword(s): 
 
References: 
  • ندارد
 
  pdf-File tarjomyar Yearly Visit 62
 
Latest on Blog
Enter SID Blog