Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

The LPI Performance Analysis of Chaos-MCPC Radar Signals based on Cyclic Autocorrelation Accumulation factor

Authors
Yang Li, Songhua He, Fubin Chen, Jianping Ou, Jun Zhang
Corresponding Author
Yang Li
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.20How to use a DOI?
Keywords
Cyclic autocorrelation, radar signals, MCPC, LPI.
Abstract

In this paper, for the first time, from the perspective of intercept receiver, based on the cyclic autocorrelation accumulation factor (U value), the low probability of intercept (LPI) performance of several traditional radar signals, COCS P4-MCPC radar signal and Chaos-MCPC radar signal are evaluated by simulation with some quantitative analyses. The simulation results show that when the reception SNR is low, regardless of low or high repetition frequency, the Chaos-MCPC signal possesses the best LPI performance

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 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
10.2991/icmeit-17.2017.20
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.20How 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  - Yang Li
AU  - Songhua He
AU  - Fubin Chen
AU  - Jianping Ou
AU  - Jun Zhang
PY  - 2017/05
DA  - 2017/05
TI  - The LPI Performance Analysis of Chaos-MCPC Radar Signals based on Cyclic Autocorrelation Accumulation factor
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 106
EP  - 110
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.20
DO  - 10.2991/icmeit-17.2017.20
ID  - Li2017/05
ER  -