A Ultra-Wideband Location Algorithm Based on Neural Network

The paper presents a Time Of Arrival (TOA) location algorithm for Ultra-Wideband (UWB) wireless communication based on Back Propagation (BP) neural network (NN). The following six modules are employed to simulate the locating under Additive White Gaussian Noise (AWGN) channel model: generating samples for training with PPM-TH-UWB signal, training the BP neural network, generating another samples for testing, locating with the trained BP NN, locating with the traditional Least Square Error (LSE) algorithm, analyzing the two algorithms by comparing the Root Mean Square Errors (RMSE) with different distances. Simulation results verify that the BP neural network can improve the efficiency, accuracy and robustness of the method comparing with LSE algorithm.