Sturdy RF Direction Finding in WSNs Under Multipath and Non-Line-of-Sight Conditions Using Machine Learning
A sturdy, learning-based direction-finding framework that jointly detects and classifies the propagation condition (LOS, weak-NLOS, strong-NLOS) from low-level array statistics, and regresses the angle of arrival using a hybrid convolutional–recurrent network trained to be invariant to multipath-induced covariance dist...