Detection and Separation of Multi-component Radar Emitter Signal

DOI

10.2991/asei-15.2015.377How to use a DOI?

Keywords

signal detection, multi-component signal, time-varying filtering, support vector machine.

Abstract

The problem of multi-component radar emitter signal processing is studied, an effective method based on time-varying filtering is proposed to detect and separate the multi-component signal in radar reconnaissance occasion. Each signal component in the time-frequency plane is detected by the region growing method which is an image segmentation algorithm. Firstly, the linear frequency modulation (LFM) components in the multi-component signal are separated by fractional Fourier transform (FRFT). And then, the components which don’t interact in the time or frequency domains are filtered. Finally, the components which interact in the time-frequency domains are separated by the support vector machine (SVM). Simulation results show that the proposed method can detect and separate multi-component signal effectively.

Copyright

© 2015, 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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TY  - CONF
AU  - Xiaofeng Wang
AU  - Guoyi Zhang
AU  - Lijun Qi
PY  - 2015/05
DA  - 2015/05
TI  - Detection and Separation of Multi-component Radar Emitter Signal
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1909
EP  - 1913
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.377
DO  - 10.2991/asei-15.2015.377
ID  - Wang2015/05
ER  -