NDLI: Wireless tomography, Part III: Compressed sensing for ultra-wideband signals

Content Provider	IEEE Xplore Digital Library
Author	Peng Zhang Qiu, R.C.
Copyright Year	2010
Description	Author affiliation: Cognitive Radio Insitute, Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, Tennessee (Peng Zhang; Qiu, R.C.)
Abstract	This is Part III of the wireless tomography three-paper series. Wireless tomography is related to wireless communications in that it requires the channel recovery between different waveforms at transmit and receive, as well as multiple-input-multiple-output (MIMO) communication system. According to the pulse propagation mechanisms of reflection and diffraction, ultra-wideband (UWB) waveforms suffer pulse distortion. Distorted pulses will overlap and therefore increases the sampling rate for accurate UWB channel recovery. Thanks to the recent progresses in sampling theory and radio propagation theory, we are able to propose a compressed sensing (CS) based UWB channel recovery method considering pulse distortion. The concept has been demonstrated through simulations. The sampling rate is as low as 2 Gsps, compared with the Nyquist rate of 50 Gsps. A CS based 2×2 MIMO communication system is also proposed and simulated. The communication problem is modeled as CS problem, and further reduce sampling rate required at the receiver.
Starting Page	000035
Ending Page	000039
File Size	1274418
Page Count	5
File Format	PDF
ISBN	9781424482023
ISSN	21504652
e-ISBN	9781424482016
DOI	10.1109/WDD.2010.5592331
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-08
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Wireless sensor networks Dictionaries Receivers MIMO Mathematical model
Content Type	Text
Resource Type	Article

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