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


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.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :On the Properties of the Rank-Two Null Space of Nonsparse and Canonical-Sparse Blind Deconvolution - 2018ABSTRACT:Blind deconvolution may be a ubiquitous nonlinear inverse downside in applications like wireless
PROJECT TITLE :Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation - 2018ABSTRACT:Joint blind supply separation (J-BSS) is an rising knowledge-driven technique for multi-set information-fusion. In
PROJECT TITLE :Classification Based on Euclidean Distance Distribution for Blind Identification of Error Correcting Codes in Noncooperative Contexts - 2018ABSTRACT:The use of channel code is mandatory in current digital communication
PROJECT TITLE :Blind Stereoscopic Video Quality Assessment From Depth Perception to Overall Experience - 2018ABSTRACT:Stereoscopic video quality assessment (SVQA) may be a challenging drawback. It has not been well investigated
PROJECT TITLE :A Likelihood-Based Algorithm for Blind Identification of QAM and PSK Signals - 2018ABSTRACT:This Project presents a chance-based mostly methodology for automatically identifying totally different quadrature amplitude

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry