Compressed sensing for UWB medical radar applications
| dc.Affiliation | October University for modern sciences and Arts (MSA) | |
| dc.contributor.author | Thiasiriphet, Thanawat | |
| dc.contributor.author | Ibrahim, Mohamed | |
| dc.contributor.author | Lindner, Jürgen | |
| dc.date.accessioned | 2020-03-07T07:15:19Z | |
| dc.date.available | 2020-03-07T07:15:19Z | |
| dc.date.issued | 2012 | |
| dc.description | MSA Google Scholar | en_US |
| dc.description.abstract | UWB has been a very attractive choice for medical radar and localization applications. The use of UWB signals can provide distance measurements with very high accuracy but a big challenge is caused by high attenuation resulting in low signal-tonoise ratios. It is well-known that analog-to-digital conversion is practically not feasible for UWB. Compressed Sensing is an emerging concept which potentially could solve this problem. The weakness of this concept is to handle noisy signals. We propose an implementation strategy to overcome this problem. The hardware implementation and complexity are also taken into account. Simulation results show significant improvements compared to conventional algorithms for both ideal and measured signals. | en_US |
| dc.description.sponsorship | IEEE | en_US |
| dc.identifier.citation | [1] R. J. Fontana, “Recent system applications of short-pulse ultra-wideband (UWB) technology”, IEEE Transactions on Microwave Theory and Techniques, vol. 52, no. 9, pp. 2087–2104, September 2004. [2] X. Li, E. J. Bond, B. D. V. Veen, and S. C. Hagness, “An overview of ultra-wideband microwave imaging via space-time beamforming form early-stage breast-cancer detection,” IEEE Transactions on Antennas and Propagation, vol. 47, no. 1, pp. 19–34, February 2005. [3] M. Leib, E. Schmitt, A. Gronau, J. Dederer, B. Schleicher, H. Schumacher, and W. Menzel, “A compact ultra-wideband radar for medical applications,” Frequenz, vol. 63, no. 1–2, pp. 2–8, 2009. [4] M. Mirbach, W. Menzel, “A simple surface estimation algorithm for UWB pulse radars based on trilateration,” IEEE International Conference on Ultra-Wideband (ICUWB), pp. 273–277, Sept 2011. [5] M. Mirbach, W. Menzel, “Time of arrival based localization of UWB transmitters buried in lossy dielectric media,” IEEE International Conference on Ultra-Wideband (ICUWB), Sept 2012. [6] L. Donoho, “Compressed sensing,” IEEE Trans. Info. Theory, vol. 52, no. 4, pp. 1289–1306, Apr. 2006. [7] J. Tropp and A. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Transactions on Information Theory, vol. 53, no. 12, pp. 4655–4666, 2007. [8] Peng Zhang, Z. Hu, R.C. Qiu, B.M. Sadler, “Compressed sensing based ultra-wideband communication system”, IEEE Commun. Mag , pp. 1–5, 2007. [9] J. L. Paredes, G. R. Arce, and Z. Wang, “Ultra-wideband compressed sensing: Channel estimation,” IEEE Jour. Signal Processing, vol 1, no. 3 pp. 383–395, Oct. 2007. [10] SparseLab: http://sparselab.stanford.edu. | en_US |
| dc.identifier.isbn | 978-1-4577-2032-1 | |
| dc.identifier.uri | https://t.ly/nrJGe | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartofseries | 2012 IEEE International Conference on Ultra-Wideband;Pages : 106-110 | |
| dc.subject | University of Biomedical, Compressed Sensing, IR-UWB, Localization, Radar | en_US |
| dc.title | Compressed sensing for UWB medical radar applications | en_US |
| dc.type | Book chapter | en_US |
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