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AdaBoost based EMD as a De-Noising Technique in Time Delay Estimation Application

by Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 12
Year of Publication: 2013
Authors: Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri
10.5120/13579-1369

Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri . AdaBoost based EMD as a De-Noising Technique in Time Delay Estimation Application. International Journal of Computer Applications. 78, 12 ( September 2013), 40-46. DOI=10.5120/13579-1369

@article{ 10.5120/13579-1369,
author = { Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri },
title = { AdaBoost based EMD as a De-Noising Technique in Time Delay Estimation Application },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 12 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number12/13579-1369/ },
doi = { 10.5120/13579-1369 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:26.112947+05:30
%A Kusma Kumari Cheepurupalli
%A Raja Rajeswari Konduri
%T AdaBoost based EMD as a De-Noising Technique in Time Delay Estimation Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 12
%P 40-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Estimation of time delay between signals received at two spatially separated sensors has considerable practical importance in the applications like source localization, direction finding etc. , in RADAR, SONAR and other communication systems. In this paper cross correlation (CC) generalized cross correlation with phase transform (GCC-PHAT) and maximum likelihood (ML) estimation methods are used as the time delay estimation methods. Prior to the delay estimation, the received signals are de-noised by AdaBoost based EMD technique. The performance of the delay estimation is significantly degraded by the signal-to-noise ratio (SNR) level and hence this factor has been considered as a principal factor. The simulation results of the proposed method are compared with the basic EMD as a de-noising technique at various SNR levels. The results show that the proposed method improves the resolution in the delay estimation in the noisy environment.

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Index Terms

Computer Science
Information Sciences

Keywords

EMD Sifting process Monotonic property Adaptive Boosting Cross-correlation Generalized cross correlation Maximum likelihood time delay estimation.

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