Blind Source Separation for DS-CDMA with filtering colored noise

Code Division Multiple Access (CDMA) techniques are a group of governing technologies used in multiple access communication. One of the premier mechanisms used in extracting unobserved signals from observed mixtures in signal processing is employing a Blind Source Separation (BSS) algorithm. Two solutions of a series taken to mitigate deteriorative effects caused within the air interface of a basic CDMA system with aid of BSS schemes is presented in this paper. In the short code model, time correlation properties of the channel is taken advantage for BSS and it is tried to remove the noise. A scalar energy function of receive signal is used with the iterative fixed point rule in determining the filter coefficients at the receiver. A system model with a slow fading downlink channel is used for testing purposes. Path gain values are treated with Equal Gain Combining (EGC). They can be pronounced as low computational complexity mechanisms.