Analysis of threshold-based ToA estimators in UWB channels

Author

Dardari, Davide ; Chia-Chin Chong ; Win, Moe Z.

Author_Institution

WiLAB, Univ. of Bologna at Cesena, Cesena, Italy

fYear

2006

fDate

4-8 Sept. 2006

Firstpage

1

Lastpage

6

Abstract

In this paper we analyze and compare the performance of matched filter (MF) and energy detector (ED) time-of-arrival estimators based on thresholding in ultra-wide bandwidth (UWB) dense multipath channels. Closed-form expressions for the estimator bias and mean square error (MSE) are derived as a function of signal-to-noise ratio using a unified methodology. A comparison with results based on Monte Carlo simulation confirms the validity of our analytical approach. Our analysis enables us to determine the threshold value that minimizes the MSE, critical parameter for optimal estimator design. It is shown that the estimation accuracy mainly depends on large estimation errors due to peak ambiguities caused by multipath at the output of the MF or ED and on the fading statistics of the first path. The evaluation of the performance loss faced by ED estimators with respect to those based on MF is also carried out. Finally, results based on experimental measurements in an indoor residential environment are presented as well to compare the MF and ED solutions.

Keywords

Monte Carlo methods; channel estimation; fading channels; indoor radio; mean square error methods; multipath channels; time-of-arrival estimation; ultra wideband communication; Monte Carlo simulation; UWB channel; UWB dense multipath channel; closed-form expression; energy detector; fading statistics; indoor residential environment; matched filter; mean square error method; optimal estimator design; threshold-based ToA estimator; time-of-arrival estimator; ultrawide bandwidth channel; Abstracts; Delays; Europe; Fading; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2006 14th European

Conference_Location

Florence

ISSN

2219-5491

Type

conf

Filename

7071771