Super-Resolution Sparse MIMO-OFDM Channel Estimation Based on Spatial and Temporal Correlations (2014)


This letter proposes a parametric sparse multiple input multiple output (MIMO)-OFDM channel estimation scheme based on the finite rate of innovation (FRI) theory, whereby super-resolution estimates of path delays with arbitrary values can be achieved. Meanwhile, both the spatial and temporal correlations of wireless MIMO channels are exploited to improve the accuracy of the channel estimation. For outdoor Communication scenarios, where wireless channels are sparse in nature, path delays of different transmit-receive antenna pairs share a common sparse pattern due to the spatial correlation of MIMO channels. Meanwhile, the channel sparse pattern is nearly unchanged during several adjacent OFDM symbols due to the temporal correlation of MIMO channels. By simultaneously exploiting those MIMO channel characteristics, the proposed scheme performs better than existing state-of-the-art schemes. Furthermore, by joint processing of signals associated with different antennas, the pilot overhead can be reduced under the framework of the FRI theory.

Did you like this research project?

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

PROJECT TITLE : Deep Coupled ISTA Network for Multi-Modal Image Super-Resolution ABSTRACT: In order to obtain a high-resolution (HR) version of a low-resolution (LR) image, multi-modal image super-resolution (MISR) uses another
PROJECT TITLE : Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors ABSTRACT: Accurate diagnosis require high-resolution Magnetic Resonance images (MR). Factors such as hardware and processing limitations limit
PROJECT TITLE : LCSCNet Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution ABSTRACT: For image super-resolution, we present in this research a short but effective network design dubbed the linear compressing
PROJECT TITLE : Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution ABSTRACT: The single picture super-resolution problem has been extensively investigated with the aid of convolutional
PROJECT TITLE : Soft-Edge Assisted Network for Single Image Super-Resolution ABSTRACT: In order to solve the problem of single image super-resolution (SISR), it is necessary to deal with a difficult inverse problem. Previous CNN-based

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

Project Enquiry