The Received Signal Characteristics-Based TOA Estimation in UWB Dense Multipath Channels

摘要

In impulse radio ultra wideband (1R-UWB) dense multipath environment, the time of arrival (TOA) based on energy detection (ED) estimation algorithms are usually used as the ranging methods, in which the signal's first path (FP) detection is very challenging. In ED receiver, threshold-crossing (TC) algorithms are used frequently. The choice of threshold becomes a key part of TC algorithms, or else the false detection probability will be high. The paper sets the threshold according to the skewness and the maximum slope of the received signal, and then because of the fixity of the FP and the randomness of TC noise samples, detects the FP by calculating the frequencies of TC energy samples in certain frames. The performance of several approaches is compared via Monte Carlo simulations using the CM3 channel model of the standard IEEE 802.15.4a. Simulation results show that the TOA estimation algorithm in the paper outperforms others.