Novel energy detection using uniform noise distribution
Kezhi Wang, Yunfei Chen, Jiming Chen

TL;DR
This paper introduces three innovative energy detectors designed to handle uniform noise uncertainty, significantly improving detection performance in cognitive radio applications.
Contribution
The paper proposes three novel detectors based on uniform noise distribution, addressing noise uncertainty challenges in energy detection.
Findings
New detectors outperform conventional energy detector
Significant performance gains demonstrated through numerical results
Effective in scenarios with uniform noise uncertainty
Abstract
Energy detection is widely used in cognitive radio due to its low complexity. One fundamental challenge is that its performance degrades in the presence of noise uncertainty, which inevitably occurs in practical implementations. In this work, three novel detectors based on uniformly distributed noise uncertainty as the worst-case scenario are proposed. Numerical results show that the new detectors outperform the conventional energy detector with considerable performance gains.
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Wireless Communication Security Techniques · Wireless Signal Modulation Classification
