application of non-linear functions at distribution of output sinr gaussian interference channels

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.