Title: Improved quantisation mechanisms in impulse radio ultra wideband systems based on compressed sensing
Authors: Yunhe Li; Qinyu Zhang; Shaohua Wu
Addresses: Zhaoqing University, Zhaoqing, China ' Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China ' Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China
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.
Keywords: compressed sensing; impulse radio ultra-wideband; quantisation mechanism; quantisation noise; overload interval factor.
International Journal of Grid and Utility Computing, 2018 Vol.9 No.3, pp.278 - 288
Received: 19 Aug 2016
Accepted: 12 Dec 2016
Published online: 10 Aug 2018 *