Channel estimation for ultra-wideband communications

By Vincenzo Lottici, Nunzio Aldo D'Andrea, Umberto Mengali. IEEE J. Sel. Areas Commun., 2002

473 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b96fde74c5c044b596b79e77a99d1f0d9902e88c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. H. Vincent Poor
2. Zhi Tian
3. Andreas F. Molisch
4. Gonzalo R. Arce
5. José Luis Paredes
6. Zhongmin Wang
7. Georgios B. Giannakis
8. Ali H. Sayed

In Electrical and Electronic Engineering

1. Andreas F. Molisch
2. Moe Z. Win
3. Sinan Gezici
4. Gonzalo R. Arce
5. José Luis Paredes
6. Zhongmin Wang
7. Zhi Tian
8. Zafer Sahinoglu

Citations in the corpus

• Ultra-Wideband Compressed Sensing: Channel Estimation (2007, methodology): “In this framework, a set of training symbols, also known as pilot signals, are used to estimate the channel parameters [4], [21] or to construct a referent template for subsequent correlation detection [2], [16], [22].”
• Localization via Ultra- Wideband Radios (2005, methodology): “In such indoor environments, a very large number of closely spaced channel taps must be estimated from a very large sample set, to capture sufficient symbol energy from what has been scattered by dense multipath [ 47 ], [55]‐[57].”
• Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (2005, methodology): “We start with deriving the CRLB of TOA estimation achieved by the ML estimator [47] for a realistic UWB multipath channel [48], [49].”