Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

MVDR algorithem for wideband coherent source signals based on data reconstruction

Authors
Hui Xia
Corresponding Author
Hui Xia
Available Online December 2016.
DOI
10.2991/icsma-16.2016.134How to use a DOI?
Keywords
coherent source signals; MVDR algorithem; data reconstruction
Abstract

Minimum Variance Distortionless Response(MVDR) algorithm for wideband coherent signals based on data reconstruction is proposed.Based on the sampling theorem, the output of different array elements at the same time is taken as the sampling of the continuous line array, and the data of the time domain is re-sampled. The method is used to estimate the azimuth of the broadband coherent source and a method of obtaining the focus error is proposed to analyze the performance of the MVDR algorithm of the wideband coherent source. Computer simulation of the FFT interpolation method and data reconstruction method of the azimuth estimation results show that for the broadband MVDR algorithm, data reconstruction method than the FFT interpolation method has better resolution probability and lower RMS error.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-274-9
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.134How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hui Xia
PY  - 2016/12
DA  - 2016/12
TI  - MVDR algorithem for wideband coherent source signals based on data reconstruction
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 772
EP  - 775
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.134
DO  - 10.2991/icsma-16.2016.134
ID  - Xia2016/12
ER  -