Enhanced Bayesian compressive sensing for ultra-wideband channel estimation

@article{Cheng2012EnhancedBC,
  title={Enhanced Bayesian compressive sensing for ultra-wideband channel estimation},
  author={Xiantao Cheng and Yong Liang Guan and Guangrong Yue and Shaoqian Li},
  journal={2012 IEEE Global Communications Conference (GLOBECOM)},
  year={2012},
  pages={4065-4070}
}
This paper addresses the application of the emerging compressive sensing (CS) technology to the detection of ultra-wideband (UWB) signals. Capitalizing on the sparseness of random UWB signals in the basis of eigen-functions, we develop a new CS dictionary called eigen- dictionary. Coupled with this eigen-dictionary, an enhanced Bayesian learning procedure is proposed to reconstruct the sparse UWB signal from a small collection of random projection measurements. Furthermore, by utilizing a… CONTINUE READING