Solving non-line-of-sight (NLOS) signal attenuation and phase ambiguity when vehicles track pedestrians obscured by parked obstacles.
Neural networks analyze the rise-time and skewness of the received UWB pulse, identifying whether the signal passed through a vehicle door or traveled freely.