Application of Non-Linear Functions at Distribution of Output SINR Gaussian Interference Channels

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

توحید  صاذقی ¹ ()
شاهین  شافعی ² ()

Received: 2015-07-22 Accepted : 2015-07-22 Published : 2013-11-01

Keywords:

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.

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