Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Optimal Waveform Design for Smart Noise Jamming

Authors
Xingyu Xia, Daoliang Hao, Xiaohe Wu
Corresponding Author
Xingyu Xia
Available Online April 2017.
DOI
10.2991/emim-17.2017.381How to use a DOI?
Keywords
Smart noise jamming; Homomorphic filtering; Kalman filtering; Styling; Mechanism
Abstract

Optimal jamming waveform design is an effective way to improve the efficiency of electronic countermeasure, which makes it the focus issue in the field of electronic warfare. With new jamming technology emerging, jamming waveforms present characteristic of smart and intelligent. Owing to it, the smart noise jamming is studied, modeling and simulation of smart noise jamming mechanism is researched. Based on homomorphic and Kalman filtering algorithm analysis, smart noise jamming waveforms design method is presented according to complex cepstrum of homomorphic filtering and divergence of Kalman filtering, which will provide reference for other related waveform design.

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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
10.2991/emim-17.2017.381
ISSN
2352-538X
DOI
10.2991/emim-17.2017.381How 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  - Xingyu Xia
AU  - Daoliang Hao
AU  - Xiaohe Wu
PY  - 2017/04
DA  - 2017/04
TI  - Optimal Waveform Design for Smart Noise Jamming
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1865
EP  - 1871
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.381
DO  - 10.2991/emim-17.2017.381
ID  - Xia2017/04
ER  -