Blind Separation of Radar Signals Based on Time-Frequency Analysis of Short Time Fourier Transformation

DOI

10.2991/esm-16.2016.13How to use a DOI?

Keywords

Time-Frequency Analysis, Short Time Fourier Transformation (STFT), Radar Signal, Blind Separation, Subspace Projection

Abstract

Radar signal sorting is a key part of radar countermeasure nowadays, a blind separation algorithm based on Time-Frequency (TF) analysis of short time Fourier transformation is proposed in this paper, and the problems of underdetermined radar signal sorting can be solved effectively. The proposed method avoids some of the drawbacks in literature, relax the assumption by allowing the sources to be TF-nondisjoint to a certain extent, it can be achieved the algorithm in the condition of TF-nondisjoint. And this method has been successfully applied to radar signal sorting process, the time domain waves of radar signals can be got and the whole radar signal sorting process is accomplished. In the simulation experiments, the performance and applications in different SNR condition of proposed method are discussed, simulation results verify the feasibility and superiority.

Copyright

© 2016, 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  - Xude Cheng
AU  - Xuedong Xue
AU  - Bing Xu
AU  - Yuan Zheng
AU  - Pin Wang
PY  - 2016/08
DA  - 2016/08
TI  - Blind Separation of Radar Signals Based on Time-Frequency Analysis of Short Time Fourier Transformation
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 50
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.13
DO  - 10.2991/esm-16.2016.13
ID  - Cheng2016/08
ER  -