Off-Body Radio Channel Impulse Response Model Under Hospital Environment: Measurement and Modeling

Abstract

A novel frequency domain autoregressive (AR) model for off-body channel at 6–8.5-GHz band is proposed. It can be employed to characterize the channel impulse responses of an off-body wireless channel under hospital environments. In this model, the magnitude and phase of the poles of the AR transfer function are normally distributed and uniformly distributed random variables, and the variance of the input signal follows the normal distribution. By comparing the average power delay profile and the root mean square delay spread distribution with the conventional tapped delay line (TDL) model, the proposed model is verified to have higher accuracy and lower complexity. The proposed model is expected to be useful for the physical layer implementation of wireless communication systems for future smart healthcare applications.