PL-MIND: Physics-Informed Liquid Neural Networks for Multichannel Identification of NLOS Dynamics in Indoor Positioning
Ultra-Wideband (UWB) indoor positioning suffers severe accuracy degradation under Non-Line-of-Sight (NLOS) conditions, where reflected signals introduce positive ranging bias. Existing deep learning approaches treat the Channel Impulse Response (CIR) as a discrete sequence, creating a representational mismatch with the...