Now showing items 1-2 of 2
Rapidly Varying Sparse Channel Tracking with Hybrid Kalman-OMP Algorithm
It is expected from future communication standards that channel estimation algorithms should be able to operate over very fast varying frequency selective channel models. Therefore in this study autoregressive (AR) modeled ...
Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems
In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a ...