Zobrazeno 1 - 5
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pro vyhledávání: '"Nicholas Whitelonis"'
Autor:
Hao Ling, Nicholas Whitelonis
Publikováno v:
IEEE Transactions on Antennas and Propagation. 62:755-763
A previously proposed time-frequency distribution based on compressed sensing (CS) is applied to radar backscattered signals for signature analysis. The CS joint time-frequency (CSJTF) distribution is based on the Wigner-Ville distribution, but emplo
Autor:
Nicholas Whitelonis, Hao Ling
Publikováno v:
IEEE Transactions on Antennas and Propagation. 61:3252-3260
Techniques for high-resolution radar imaging through a pipe are explored. To improve the angular resolution imposed by the pipe diameter, two high-resolution processing methods, MUSIC and compressed sensing (CS), are adapted for through-pipe radar im
Autor:
Mark F. Hamilton, Shang-Te Yang, R. Bhalla, Aale Naqvi, Nicholas Whitelonis, Todd A. Hay, Walter E. Brown, Hao Ling
Offshore wind energy is a valuable resource that can provide a significant boost to the US renewable energy portfolio. A current constraint to the development of offshore wind farms is the potential for interference to be caused by large wind farms o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c2a2851d29beba8223965e80e765dc
https://doi.org/10.2172/1096175
https://doi.org/10.2172/1096175
Autor:
Hao Ling, Nicholas Whitelonis
Publikováno v:
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation.
A method is proposed that uses compressed sensing to obtain high-resolution radar images through a pipe. The method is demonstrated with simulation and measurement data and found to provide superior resolution in comparison to a matched filter.
Autor:
Nicholas Whitelonis, Hao Ling
Publikováno v:
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation.
A joint time-frequency distribution based on the Wigner-Ville distribution and compressed sensing is explored for radar signature analysis. The new distribution provides the localization of the Wigner-Ville with reduced cross terms. The distribution