Application of Artificial Neural Network for Clutter Rejection

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Author(s)

Priyabrata Karmakar 1,* Sourav Dhar 2 Mithun Chakraborty 1 Tirthankar Paul 3

1. Electronics & Communication Engineering Department, Surendra, Institute of Engineering & Management, Siliguri, India

2. Electronics & Communication Engineering Department, Sikkim Manipal, Institute of Technology, Sikkim, India

3. Electronics & Communication Engineering Department, Swami Vivekanada, Institute of Science & Technology, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2012.10.06

Received: 14 Feb. 2012 / Revised: 6 May 2012 / Accepted: 19 Jul. 2012 / Published: 8 Sep. 2012

Index Terms

Artificial Neural Networks, Radar, Clutter

Abstract

This paper deals with application of Artificial Neural Network (ANN) for Radar Clutter rejection, function approximation method of supervised ANN is applied here using back propagation algorithm. The database used for training and testing the ANN has been collected from simulating a moving vehicle in MATALAB(version 7.9) to obtain the RCS values at range and cross-range profiles. This work is validated by comparing received signal after clutter rejection with the received signal in no clutter condition.

Cite This Paper

Priyabrata Karmakar, Sourav Dhar, Mithun Chakraborty, Tirthankar Paul, "Application of Artificial Neural Network for Clutter Rejection", International Journal of Computer Network and Information Security(IJCNIS), vol.4, no.10, pp.55-62, 2012. DOI:10.5815/ijcnis.2012.10.06

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