Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

DOA estimation with synthetic nested array using moving sensor

Authors
Zhan Shi, Xiaofei Zhang, You Sun
Corresponding Author
Zhan Shi
Available Online June 2016.
DOI
10.2991/mecs-17.2017.139How to use a DOI?
Keywords
Moving sensor, Nested array, Synthetic array.
Abstract

The synthetic aperture methods are widely used to extend array aperture by exploiting platform motion. In this paper, a synthetic nested array using moving sensor for DOA estimation is proposed. With the moving sensor, we can construct a longer nested array which is equivalent to the real array. Then traditional DOA estimation algorithms for nested array can also be applied, such as spatial smooth MUSIC algorithm. By extending the array aperture and exploiting synthetic nested array, the DOA estimation performance can be improved. In the ideal case, the performance of synthetic and real array is the same which is vilified by performance analysis and simulations.

Copyright
© 2017, 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 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.139How to use a DOI?
Copyright
© 2017, 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  - Zhan Shi
AU  - Xiaofei Zhang
AU  - You Sun
PY  - 2016/06
DA  - 2016/06
TI  - DOA estimation with synthetic nested array using moving sensor
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 218
EP  - 224
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.139
DO  - 10.2991/mecs-17.2017.139
ID  - Shi2016/06
ER  -