Next Article in Journal
Position Tracking During Human Walking Using an Integrated Wearable Sensing System
Previous Article in Journal
An AST-ELM Method for Eliminating the Influence of Charging Phenomenon on ECT
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(12), 2868;

Signal Subspace Smoothing Technique for Time Delay Estimation Using MUSIC Algorithm

Information Engineering College, Shanghai Maritime University, Shanghai 201306, China
Institut d’Electronique et Télécommunications de Rennes, UMR CNRS 6164, Université de Nantes, 44306 Nantes CEDEX 3, France
Cerema, Project-Team ENSUM, 49136 Les Ponts de Cé, France
School of Electronic and Information Engineering, South China University of Technology, Wushan Road, Tianhe District, Guangzhou 510641, China
Author to whom correspondence should be addressed.
Received: 11 November 2017 / Revised: 5 December 2017 / Accepted: 7 December 2017 / Published: 10 December 2017
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [1333 KB, uploaded 11 December 2017]   |  


In civil engineering, Time Delay Estimation (TDE) is one of the most important tasks for the media structure and quality evaluation. In this paper, the MUSIC algorithm is applied to estimate the time delay. In practice, the backscattered echoes are highly correlated (even coherent). In order to apply the MUSIC algorithm, an adaptation of signal subspace smoothing is proposed to decorrelate the correlation between echoes. Unlike the conventional sub-band averaging techniques, we propose to directly use the signal subspace, which can take full advantage of the signal subspace and reduce the influence of noise. Moreover, the proposed method is adapted to deal with any radar pulse shape. The proposed method is tested on both numerical and experimental data. Both results show the effectiveness of the proposed method. View Full-Text
Keywords: Time Delay Estimation (TDE); signal subspace; sub-band averaging technique; radar Time Delay Estimation (TDE); signal subspace; sub-band averaging technique; radar

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Sun, M.; Wang, Y.; Le Bastard, C.; Pan, J.; Ding, Y. Signal Subspace Smoothing Technique for Time Delay Estimation Using MUSIC Algorithm. Sensors 2017, 17, 2868.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top