PROJECT TITLE :

Multi-Dimensional Graph-Based Soft Iterative Receiver for MIMO-OFDM

ABSTRACT:

A graph-based mostly receiver is presented that iteratively performs soft channel estimation and soft data detection. Reliability information of information symbols is utilised to enhance channel estimation, and in turn, soft channel estimates refine data symbol estimates. The proposed multi-dimensional factor graph introduces transfer nodes that exploit correlation of adjacent channel coefficients in an arbitrary variety of dimensions (e.g. time, frequency, and spatial domain). This establishes a straightforward and versatile receiver structure that facilitate soft channel estimation and knowledge detection in multi-dimensional dispersive channels, and supports arbitrary modulation and channel coding schemes. Simulation results demonstrate that the proposed multi-dimensional graph-based mostly receiver outperforms iterative and non-iterative state-of-the-art receivers.


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