Name
Title | ||
|---|---|---|
Ultrawideband Channel Estimation: A Bayesian Compressive Sensing Strategy Based on Statistical Sparsity |
Abstract | ||
|---|---|---|
To cope with the formidable sampling rate required by Nyquist criterion, compressive sensing (CS) has been recently adopted for ultrawideband (UWB) channel estimation. In this paper, exploiting the statistical sparsity of real UWB signals in the basis formed by eigenvectors, we develop a new CS dictionary called eigendictionary, which enables the use of CS for UWB channel estimation. With respect ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TVT.2014.2340894 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Dictionaries,Vectors,Channel estimation,Bayes methods,Receivers,Compressed sensing,Ultra wideband technology | Random projection,Computer science,Sampling (signal processing),Communication channel,Electronic engineering,Nyquist stability criterion,Compressed sensing,Eigenvalues and eigenvectors,Bayesian compressive sensing,Bayesian probability | Journal |
Volume | Issue | ISSN |
64 | 5 | 0018-9545 |
Citations | PageRank | References |
10 | 0.59 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiantao Cheng | 1 | 34 | 8.09 |
| Mengyao Wang | 2 | 14 | 1.66 |
| Yong Liang Guan | 3 | 2037 | 163.66 |