PROJECT TITLE :

Blind source separation for OFDM with filtering colored noise and jamming signal

ABSTRACT:

One of the premier mechanisms used in extracting unobserved signals from observed mixtures in signal processing is employing a blind source separation (BSS) algorithm. Orthogonal frequency division multiplexing (OFDM) techniques are playing a outstanding role in the sphere of multicarrier communication. A collection of remedial solutions taken to mitigate deteriorative effects caused inside the air interface of OFDM transmission with aid of BSS schemes is presented. Four energy functions are used in deriving the filter coefficients. Energy criterion functions to be optimized and therefore the performance is justified. These functions along with iterative mounted point rule for receive signal are employed in determining the filter coefficients. Time correlation properties of the channel are taken advantage for BSS. It is tried to get rid of colored noise and jamming elements from the mixture at the receiver. The method is tested during a slow fading channel with a receiver containing equal gain combining to treat the channel state information values. The importance is that, these are quite low computational complexity mechanisms.


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