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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, the authors are able to propose a Compressed Sensing (CS) based UWB channel recovery method considering pulse distortion.
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