Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Fast MIMO-ISAR Back Projection Algorithm Based on FFT

Authors
Xiuyou Wang, Hao Wang, Dongqing Xu, Huaming Liu, Jianzhong Fan
Corresponding Author
Xiuyou Wang
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.198How to use a DOI?
Keywords
MIMO-ISAR; back projection; fast algorithm
Abstract

In order to reduce the computational cost in the current MIMO-ISAR back projection imaging algorithm, a fast algorithm based on FFT is proposed for MIMO-ISAR back projection. First, we establish the reflected wave signal model for MIMO-ISAR imaging. The approximate representation of linear change of phase compensation factor is provided. Second, the constraints of the conversion from non-linear phase compensation factor to linear compensation factor is given. Finally, an efficient algorithm for MIMO-ISAR back projection based on FFT is achieved. Simulation results show that compared with traditional methods, the proposed algorithm reduces the computational cost greatly.

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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.198How 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  - Xiuyou Wang
AU  - Hao Wang
AU  - Dongqing Xu
AU  - Huaming Liu
AU  - Jianzhong Fan
PY  - 2017/01
DA  - 2017/01
TI  - Fast MIMO-ISAR Back Projection Algorithm Based on FFT
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.198
DO  - https://doi.org/10.2991/icmmita-16.2016.198
ID  - Wang2017/01
ER  -