Ultra-Wideband Compressed Sensing: Channel Estimation

By José Luis Paredes, Gonzalo R. Arce, Zhongmin Wang. IEEE Journal on Selected Topics in Signal Processing, 2007

316 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/eda43bc3308fe349e36fe705d1cbd57cfd435c8a

How researchers see this paper

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

In Biomedical Engineering

1. Bhaskar D. Rao
2. Byonghyo Shim
3. H. Vincent Poor
4. Athina P. Petropulu
5. Shengli Zhou
6. Jun Won Choi
7. Yacong Ding
8. Dong In Kim

In Computational Mechanics

1. Byonghyo Shim
2. Dong In Kim
3. Jun Won Choi
4. Yacong Ding
5. Bhaskar D. Rao
6. H. Vincent Poor
7. Athina P. Petropulu
8. Shengli Zhou

In Electrical and Electronic Engineering

1. Athina P. Petropulu
2. Bhaskar D. Rao
3. Byonghyo Shim
4. H. Vincent Poor
5. Shengli Zhou
6. Jun Won Choi
7. Yacong Ding
8. Dong In Kim

Citations in the corpus

• Application of compressive sensing to sparse channel estimation (2010, background): “• Sparse channel estimation in ultra-wideband, was motivated by the ability to resolve individual arrivals or clusters of arrivals in multipath channels [6].”
• Compressed Sensing for Wireless Communications: Useful Tips and Tricks (2015, background): “Typical examples include the ultra-wideband channel [24]– [26], underwater acoustic channel [27]–[29], and even some cellular channels (e.”
• MIMO Radar Using Compressive Sampling (2009, background): “, image processing [14] and wireless communications [15][16].”