A Robust Signal Classification Scheme for Cognitive Radio

Hanwen Cao; Jürgen Peissig

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arXiv · 1207.5342

A Robust Signal Classification Scheme for Cognitive Radio

Hanwen Cao·Jürgen Peissig

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Abstract

This paper presents a robust signal classification scheme for achieving comprehensive spectrum sensing of multiple coexisting wireless systems. It is built upon a group of feature-based signal detection algorithms enhanced by the proposed dimension cancelation (DIC) method for mitigating the noise uncertainty problem. The classification scheme is implemented on our testbed consisting real-world wireless devices. The simulation and experimental performances agree with each other well and shows the effectiveness and robustness of the proposed scheme.

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Hanwen Cao, Jürgen Peissig. 2012-07-23. A Robust Signal Classification Scheme for Cognitive Radio. https://arxiv.org/abs/1207.5342

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