Statistical efficiency of synchronous time-to-digital converters

Author

de Angelis, G. ; Moschitta, Antonio ; Carbone, Paolo

Author_Institution

Dept. of Electron. & Inf. Eng., Univ. of Perugia, Perugia, Italy

fYear

2013

fDate

3-3 Oct. 2013

Firstpage

1

Lastpage

6

Abstract

In this paper, the Cramér-Rao Lower Bound (CRLB) on the variance of time interval duration estimators is derived for synchronous Time-to-Digital (TDC) converters, based on a coarse counter, keeping into account the effect of noise affecting the TDC clock period. The model has been validated using Montecarlo analysis. By comparing the CRLB to the variance of the TDC output, also theoretically modeled together with the estimator mean value and bias, the statistical efficiency of the considered TDC architecture has been demonstrated.

Keywords

Monte Carlo methods; time-digital conversion; CRLB; Cramér-Rao lower bound; Monte Carlo analysis; TDC clock period; coarse counter; statistical efficiency; synchronous TDC converters; synchronous time-to-digital converter; time interval duration estimator; Approximation methods; Clocks; Jitter; Noise; Radiation detectors; Random variables; Synchronization; Cramér Rao Lower Bound (CRLB); Time Digital Converter; cumulative noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-to-Digital Converters (NoMe TDC), 2013 IEEE Nordic-Mediterranean Workshop on

Conference_Location

Perugia

Print_ISBN

978-1-4799-1184-4

Type

conf

DOI

10.1109/NoMeTDC.2013.6658240

Filename

6658240