• Towards sparse characterisation of on-body ultra-wideband wireless channels

      Yang, Xiaodong; Ren, Aifeng; Zhang, Zhiya; Ur-Rehman, Masood; Abbasi, Qammer Hussain; Alomainy, Akram; Xidian University; University of Bedfordshire; Texas A&M University at Qatar (IET, 2015-07-01)
      With the aim of reducing cost and power consumption of the receiving terminal, compressive sensing (CS) framework is applied to on-body ultra-wideband (UWB) channel estimation. It is demonstrated in this Letter that the sparse on-body UWB channel impulse response recovered by the CS framework fits the original sparse channel well; thus, on-body channel estimation can be achieved using low-speed sampling devices.