DOAJ Open Access 2014

Application of a Channel Estimation Algorithm to Spectrum Sensing in a Cognitive Radio Context

Vincent Savaux Moïse Djoko-Kouam Yves Louët Alexandre Skrzypczak

Abstrak

This paper deals with spectrum sensing in an orthogonal frequency division multiplexing (OFDM) context, allowing an opportunistic user to detect a vacant spectrum resource in a licensed band. The proposed method is based on an iterative algorithm used for the joint estimation of noise variance and frequency selective channel. It can be seen as a second-order detector, since it is performed by means of the minimum mean square error criterion. The main advantage of the proposed algorithm is its capability to perform spectrum sensing, noise variance estimation, and channel estimation in the presence of a signal. Furthermore, the sensing duration is limited to only one OFDM symbol. We theoretically show the convergence of the algorithm, and we derive its analytical detection and false alarm probabilities. Furthermore, we show that the detector is very efficient, even for low SNR values, and is robust against a channel uncertainty.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (4)

Vincent Savaux

Moïse Djoko-Kouam

Yves Louët

Alexandre Skrzypczak

Format Sitasi

APA MLA BibTeX

Savaux, V., Djoko-Kouam, M., Louët, Y., Skrzypczak, A. (2014). Application of a Channel Estimation Algorithm to Spectrum Sensing in a Cognitive Radio Context. https://doi.org/10.1155/2014/506457

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Informasi Jurnal

Tahun Terbit: 2014
Sumber Database: DOAJ
DOI: 10.1155/2014/506457
Akses: Open Access ✓