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A Review of Noise Cancellation Techniques for Cognitive Radio

机译:认知收音机噪声消除技术综述

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One of the fundamental challenges affecting the performance of communication systems is the undesired impact of noise on a signal. Noise distorts the signal and originates due to several sources including, system non-linearity and noise interference from adjacent environment. Conventional communication systems use filters to cancel noise in a received signal. In the case of cognitive radio systems, denoising a signal is important during the spectrum sensing period, and also during communication with other network nodes. Based on our findings, few surveys are found that only review particular denoising techniques employed for the spectrum sensing phase of cognitive radio communication. This paper aims to provide a collective review of denoising techniques that can be applied to a cognitive radio system during all the phases of cognitive communication and discusses several works where the denoising techniques are employed. To establish comprehensive overview, a performance comparison of the discussed denoising techniques are also provided.
机译:影响通信系统性能的基本挑战之一是噪声对信号的不期望的影响。由于多个来源,噪声扭曲信号并源于若干来源,包括来自相邻环境的系统非线性和噪声干扰。传统的通信系统使用滤波器在接收信号中取消噪声。在认知无线电系统的情况下,在频谱感测时段期间,去噪信号是重要的,并且在与其他网络节点的通信期间也是重要的。基于我们的研究结果,发现很少的调查仅审查用于认知无线电通信的频谱传感阶段的特定去噪技术。本文旨在提供一种能够在认知通信的所有阶段应用于认知无线电系统的去噪技术的集体审查,并讨论了采用去噪技术的几个工作。为了建立全面的概述,还提供了讨论的去噪技术的性能比较。

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