Abstract
Energy detection is considered as most popular spectrum sensing technique. However, the impact of noise uncertainty in wireless environment limits the sensitivity of energy-based detector. It generally suffers from Signal-to-Noise Ratio (SNR) wall, which is defined as the minimum SNR in which robust detection is not possible. This paper presents an adaptive technique to improve SNR wall in sensor networks that combines cross-correlation scheme and dynamic threshold method to improve performance. An analytical expression of SNR wall is derived to show improved performance over traditional energy detector. Theoretical analyses and simulations validate effectiveness of the proposed method under noise uncertainty environment.
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