An adaptive learning algorithm for spectrum sensing based on direction of arrival estimation in cognitive radio systems

Authors

  • Sala Surekha Dept. of E.C.E., Koneru Lakshmaiah Education Foundation, K L University, Green Fields, Vaddeswaram, Guntur-522502, A.P., India.
  • Md Zia Ur Rahman Dept. of E.C.E., Koneru Lakshmaiah Education Foundation, K L University, Green Fields, Vaddeswaram, Guntur-522502, A.P., India.
  • Aimé Lay-Ekuakille Department of Innovation Engineering, University of Salento, Lecce, Italy.

DOI:

https://doi.org/10.21014/acta_imeko.v10i4.1128

Abstract

In cognitive radio systems, estimating primary user direction of arrival (DOA) measurement is one of the key issues. In order to increase the probability detection multiple sensor antennas are used and they are analysed by using subspace-based technique. In this work, we considered wideband spectrum with sub channels and here each sub channel facilitated with a sensor for the estimation of DOA. In practical spectrum sensing process interference component also encounters in the sensing process. To avoid this interference level at output of receiver, we used an adaptive learning algorithm known as Normalised Least Absolute Mean Deviation (NLAMD) algorithm. Further to achieve better performance a bias compensator function is applied in weight coefficient updating process. Using this hybrid realization, the vacant spectrum can be sensed based on DOA estimation and number of vacant locations in each channel can be identified using maximum likelihood approach. In order to test at the diversified conditions different threshold parameters 0.1, 0.5, 1 are analysed.

Author Biographies

Md Zia Ur Rahman, Dept. of E.C.E., Koneru Lakshmaiah Education Foundation, K L University, Green Fields, Vaddeswaram, Guntur-522502, A.P., India.

Professor, Dept. of E.C.E., Koneru Lakshmaiah Education Foundation, K L University, Green Fields, Vaddeswaram, Guntur-522502, A.P., India.

Aimé Lay-Ekuakille, Department of Innovation Engineering, University of Salento, Lecce, Italy.

Professor, Department of Innovation Engineering, University of Salento, Lecce, Italy.

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Published

2021-12-30

Issue

Vol. 10 No. 4 (2021)

Section

Research Papers

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