Parameter Estimation of Weak LFM in Heavy noise based on Stochastic Resonance and RAT-FrFt

DOI

10.2991/iiicec-15.2015.377How to use a DOI?

Keywords

Stochastic Resonance; RAT; FrFt; LFM; Estimation.

Abstract

Signal parameter estimation is a part of the signal processing, this paper focus on the weak LFM parameter estimation by stochastic resonance, the twice sampling and different step make sure the bistabe system reach to resonance, then the SNR is improved, the high resolution estimation is come from the accumulation to the line by RAT-FRFT, some simulation have been done for testing the method.

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  - Xudong He
AU  - Jue Liu
AU  - Yangze Dong
PY  - 2015/03
DA  - 2015/03
TI  - Parameter Estimation of Weak LFM in Heavy noise based on Stochastic Resonance and RAT-FrFt
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1736
EP  - 1741
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.377
DO  - 10.2991/iiicec-15.2015.377
ID  - He2015/03
ER  -