@InProceedings{Palipana_2019_buildsys, author={Sameera Palipana and Stephan Sigg}, booktitle={Conference on Systems for Energy-Efficient Buildings, Cities and Transportation (Buildsys) (adjunct)}, title={Receiver-Side Beamforming to Isolate Channel Perturbations from a Human Target in a Device-Free Setting}, year={2019}, abstract={We present an approach to isolate the angular response of a human on a receiver-side beamformer when the line of sight is sevaral magnitudes stronger than the human response. The solution is implemented in a 5G testbed using a software-defined radio (SDR) platform. Beamforming with SDRs faces the challenge to train the beamformer to different azimuth angles. We present an algorithm to generate the steering vectors from a few training points amidst imprecise prior information. In particular, we assign asimuth angles to steering vectors converted from phase rotations of signals transmitted from reference directions. Furthermore, we detect a human and estimate the direction from strong signal perturbations towards that angle. Experiments for a person performing in-place activities in a semi-anechoic chamber show a detection accuracy of 100% and a maximum median direction of arrival error of 40 degree.}, project = {radiosense}, group = {ambience} }