RF sub-sampling receiver architecture based on milieu adapting techniques

A novel sub-sampling based architecture is proposed which has the ability of reducing the problem of image distortion and improving the signal to noise ratio significantly. The technique is based on sensing the environment and adapting the sampling rate of the receiver to the best possible selection. The proposed technique is applied to an RF sub-sampling receiver and has revealed great improvements in the SNIR of the receiver. Measurements on an experimental sub-sampling receiver show that the presented method provides up to 85.9 dB improvements in the SNIR of the receiver when comparing it for best and worst choice of sampling rate.