Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

An Improved Track Initial Algorithm Based by Waveform Agility

Authors
Ren Li, Yang Feng
Corresponding Author
Ren Li
Available Online December 2016.
DOI
10.2991/icwcsn-16.2017.89How to use a DOI?
Keywords
Waveform agility; Covariance control; Data rate; Joint agility; Track initial.
Abstract

Currently tracking Track initiation in most core processes, how to achieve multiple objectives in a complex environment more accurate track initiation is still the key and difficult problems of target tracking. Waveform agile radar is currently the latest breakthroughs in the field of cognitive technology radar aspect, it is different from the conventional radar characteristics are mainly from the environment (including the target) in continuous learning to improve target detection capability. This paper introduces minimum gate volume to logic track initiation algorithm, which thesis proposes a track initiation agility algorithm by controlling gate volume to reduce amount of clutter, which improves success rate and accuracy of track.

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 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
10.2991/icwcsn-16.2017.89How 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  - Ren Li
AU  - Yang Feng
PY  - 2016/12
DA  - 2016/12
TI  - An Improved Track Initial Algorithm Based by Waveform Agility
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 423
EP  - 426
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.89
DO  - 10.2991/icwcsn-16.2017.89
ID  - Li2016/12
ER  -