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首页> 外文期刊>International journal of communication systems >A novel signal separation algorithm based on compressed sensing for wideband spectrum sensing in cognitive radio networks
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A novel signal separation algorithm based on compressed sensing for wideband spectrum sensing in cognitive radio networks

机译：认知无线电网络中基于压缩感知的宽带频谱感知信号分离新算法

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摘要

In cognitive radio networks, since cognitive terminals use a shared wideband frequency spectrum for data transmissions, they are susceptible to malicious denial-of-service attacks, where adversaries try to corrupt communication by actively transmitting interference signals. To address this issue, in this paper, we propose a novel signal separation algorithm based on compressed sensing, which can not only recover the entire spectrum but also separate mixed occupying signals. Specifically, the proposed algorithm is executed following three steps: (i) each cognitive terminal attempts to recover all signals over an entire wideband spectrum employing the compressed sensing technique; (ii) all cognitive terminals send their recovered signals to the fusion center where a wavelet edge detection method is adopted to locate the spectrum edges of these signals and then divide the entire spectrum into several sub-bands; (iii) the fusion center separates its received signals on each spectrum sub-band into different categories according to their features. Both analytical and simulation results indicate that this novel compressed-sensing-based algorithm can effectively separate wideband signals at a low cost and combat interference of the malicious terminals in cognitive radio networks as well. Copyright (c) 2013 John Wiley & Sons, Ltd.
机译：在认知无线电网络中，由于认知终端使用共享的宽带频谱进行数据传输，因此它们容易受到恶意的拒绝服务攻击，攻击者试图通过主动发送干扰信号来破坏通信。为了解决这个问题，本文提出了一种基于压缩感知的信号分离算法，该算法不仅可以恢复整个频谱，而且可以分离出混合的占位信号。具体地，所提出的算法执行以下三个步骤：（i）每个认知终端尝试使用压缩感测技术在整个宽带频谱上恢复所有信号； （ii）所有认知终端将其恢复的信号发送到融合中心，在融合中心采用小波边缘检测方法定位这些信号的频谱边缘，然后将整个频谱划分为几个子带； （iii）融合中心根据其特征将其在每个频谱子频带上的接收信号分为不同的类别。分析和仿真结果均表明，这种新颖的基于压缩感知的算法可以低成本有效地分离宽带信号，并且还可以抵抗认知无线电网络中恶意终端的干扰。版权所有（c）2013 John Wiley＆Sons，Ltd.

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