Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Feature Extraction of Precession Targets Based on Multi-aspect Range-Profile Sequence

Authors
Dan Xu, Bo Tian, Cunqian Feng, Shuang Zhao, Yizhe Wang
Corresponding Author
Dan Xu
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.12How to use a DOI?
Keywords
Range-profile sequence; Precession; Scattering point matching; Multi-aspect.
Abstract
Parameters extraction of precession targets are important information source for ballistic target recognition. Aiming at the limited ability of extracting targets parameters with single radar, an algorithm based on uniting the multi-aspect observation information is proposed to extract the precession features of ballistic targets in this paper. Firstly, cone-shaped precession model and wideband radar signal model are established and different-aspect conic node scattering point is matched and identified based on analyzing the relationship of each scattering point's micro-distance variation in detail. Then, utilizing the variation information of target's projected length obtained from range-profile sequence to estimate precession parameters, which can obtain estimation of precession parameters and target structure parameters without any prior information. Lastly, Simulation results prove that the proposed method can realize the extraction of high accuracy parameters.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dan Xu
AU  - Bo Tian
AU  - Cunqian Feng
AU  - Shuang Zhao
AU  - Yizhe Wang
PY  - 2016/09
DA  - 2016/09
TI  - Feature Extraction of Precession Targets Based on Multi-aspect Range-Profile Sequence
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 58
EP  - 63
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.12
DO  - https://doi.org/10.2991/iccia-16.2016.12
ID  - Xu2016/09
ER  -