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.
Keywords: CS framework-recovered impulse response; UWB channel impulse response; body area networks; channel estimation-applied CS framework; channel estimation-applied compressive sensing framework; compressed sensing; health care; low-speed sampling device; medical signal processing; on-body UWB channel estimation; on-body channel estimation; on-body impulse response; on-body wireless channel; original sparse channel; receiving terminal cost reduction; receiving terminal power consumption reduction; sparse channel-fitting impulse response; sparse impulse response; ultra wideband communication; ultra-wideband channel estimation; ultra-wideband wireless channel; wireless channel sparse characterisation; wireless channels.