Improved quantisation mechanisms in impulse radio ultra wideband systems based on compressed sensing. (2018)

• Record Type: Journal Article
• Authors: Li, Yunhe; Zhang, Qinyu; Wu, Shaohua
• Is Part Of: International journal of grid and utility computing. Volume 9:Number 3(2018)
• Page Start: 278
• Page End: 288
• Publication Date: 2018
• Subjects: compressed sensing -- impulse radio ultra-wideband -- quantisation mechanism -- quantisation noise -- overload interval factor; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

To reduce the impact of quantisation noise during low-rate sampling of Impulse Radio Ultra-Wideband (IR-UWB) under compressed sensing framework and also considering the equal information carrying of compressed measurements and characteristics of Gaussian distribution, three modified quantisation mechanisms are designed in this study: overload uniform quantisation, non-uniform quantisation, and overload non-uniform quantisation. Also, the influencing elements of overload factor in overload mechanism are mentioned to obtain the optimisation scheme close to the optimal overload by fitting. The simulation results show that all the three modified mechanisms, especially the overload non-uniform quantisation mechanism, have wrought great improvement in performance when compared to the uniform quantisation. What's more, the performance of the overload uniform quantisation mechanism featured with low complexity is better than that of the non-uniform quantisation mechanism with high complexity, thus providing a practical quantisation method for the IR-UWB system under the compressed sensing framework.