Parameter Estimation of LFM Signal in the Presence of non-Gaussian Noise

Authors
Sajjad Malekee, Mahmoud Mayiami, Seyed Reza Haydarinik, Seyed Mohammad Alavi
Corresponding Author
Sajjad Malekee
Available Online April 2013.
Abstract
In this paper, a method is proposed for chirp rate and initial frequency estimation in the presence of non-Gaussian noise. In this approach, the noise is considered a component of signal phase. After extracting the phase of received signal, we estimate the parameters of interest by using the linear estimators. Since time-frequency simultaneous searches are not done, this approach has low computational complexity. Hence, online and offline implementation are available. Also, simulations confirm the high performance of the proposed method.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Sajjad Malekee
AU  - Mahmoud Mayiami
AU  - Seyed Reza Haydarinik
AU  - Seyed Mohammad Alavi
PY  - 2013/04
DA  - 2013/04
TI  - Parameter Estimation of LFM Signal in the Presence of non-Gaussian Noise
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6267
ID  - Malekee2013/04
ER  -