Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Study of Naval Ship Target Detection Probability of Skywave Radar based on Simplified Signal Processing Model

Authors
Shihua Liu, Jiantao Xiang
Corresponding Author
Shihua Liu
Available Online November 2016.
DOI
10.2991/icmia-16.2016.142How to use a DOI?
Keywords
sea clutter suppression, skywave radar, naval ship target, detection performance analysis
Abstract

The suppression ability of sea clutter suppression methods based on AR model, phase space reconstruction and are analyzed. The simulation analysis method of naval ship target detection performance based on sea clutter simulation data - sea clutter suppression method – simplified signal processing] model is constructed. The ship target detection probability of skywave radar is researched after sea clutter suppression process by using above three sea clutter suppression methods.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.142How 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  - Shihua Liu
AU  - Jiantao Xiang
PY  - 2016/11
DA  - 2016/11
TI  - Study of Naval Ship Target Detection Probability of Skywave Radar based on Simplified Signal Processing Model
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.142
DO  - 10.2991/icmia-16.2016.142
ID  - Liu2016/11
ER  -