Spectrum Sensing Approach Based on Optimal Stochastic Resonance Technique under Color Noise Background in Cognitive Radio Networks

Di He, Chen He, Ling-ge Jiang, Yingpei Lin
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引用次数: 9

Abstract

An optimal-stochastic-resonance-based spectrum sensing approach under color noise environment is proposed in this paper. It can improve the detection performance of energy detector in color noise background especially under low signal-to-noise radio (SNR). The suitable stochastic resonance (SR) noise and corresponding driving parameter can be introduced to maximize the output SNR of the SR system and the received signal. Computer simulation results show the efficiency of the proposed spectrum sensing approach under different kinds of color noises and its advantages over traditional energy detectors.
认知无线电网络中基于彩色噪声背景下最优随机共振技术的频谱感知方法
提出了一种基于最优随机共振的彩色噪声环境下的频谱感知方法。它可以提高能量检测器在彩色噪声背景下的检测性能,特别是在低信噪比下。通过引入合适的随机共振噪声和相应的驱动参数,使随机共振系统的输出信噪比和接收信号的信噪比达到最大。计算机仿真结果表明了该方法在不同颜色噪声下的有效性,以及与传统能量检测器相比的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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