TDOA accurate estimation algorithm based on phase calibration technique

Author

Di Hui ; Liu Yu ; Yang Jian

Author_Institution

Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

fYear

2013

fDate

12-13 Oct. 2013

Firstpage

1083

Lastpage

1087

Abstract

A time difference of arrival (TDOA) accurate estimation algorithm in noise background was studied. Common TDOA estimation results are mostly integer times of sample interval, which will result in errors of measurement principle. In this paper, the time of arrival (TOA) estimation results based on Haar wavelet transform is taken as initial value firstly. Then, TDOA less than one sample interval is estimated by the TDOA accurate estimation algorithm based on phase calibration technique. A method of eliminating the outliers with multiple measuring is presented to eliminate the estimates with larger errors which are caused by phase ambiguity, and its application conditions are analyzed. Simulation results show that the estimation accuracy is close to the Cramer-Rao lower bound (CRLB) for TDOA estimation with proper signal to noise ratio (SNR).

Keywords

Haar transforms; time-of-arrival estimation; wavelet transforms; CRLB; Cramer-Rao lower bound; Haar wavelet transform; SNR; TDOA estimation accuracy algorithm; measurement principle; noise background; outlier elimination; phase ambiguity; phase calibration technique; signal-to-noise ratio; time difference-of-arrival estimation algorithm; Calibration; Estimation; Phase measurement; Signal to noise ratio; Time measurement; Wavelet transforms; CRLB; TDOA; TOA; eliminating outliers; phase calibration;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on

Conference_Location

Dalian

Type

conf

DOI

10.1109/ICCSNT.2013.6967291

Filename

6967291