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Sensors 2017, 17(12), 2868; doi:10.3390/s17122868

Signal Subspace Smoothing Technique for Time Delay Estimation Using MUSIC Algorithm

1
Information Engineering College, Shanghai Maritime University, Shanghai 201306, China
2
Institut d’Electronique et Télécommunications de Rennes, UMR CNRS 6164, Université de Nantes, 44306 Nantes CEDEX 3, France
3
Cerema, Project-Team ENSUM, 49136 Les Ponts de Cé, France
4
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)
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Abstract

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
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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.

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