USRP Implementation of Spectrum Sensing OFDM-Based Cognitive Radio Networks Using Energy Ratio Algorithm

A. Ate, Sohila Mohamed
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引用次数: 1

Abstract

This paper explains the Universal Software Radio Peripheral (USRP) Experiment results of Spectrum Sensing Algorithms based on the Energy Ration Algorithm for Cognitive Radio Networks which is latterly suggested in Spectrum observation for OFDM-Based Cognitive Radio Networks by using Energy Ratio Algorithm. This is completed through detecting the variance in the strength of the signal during a variety of confined OFDM subcarriers are used to ensure that the availability of the essential user is facilely discovered. Extensive experiments are performed, in particular, the effects of Signal to Noise Ratio (SNR). This paper observed that the experimental results gave lower detection performance compared to the simulation results. That’s due to existence of other systems which operate on same frequency band of 2.4GHz.
基于能量比算法的频谱感知ofdm认知无线网络USRP实现
本文介绍了基于能量比算法的认知无线网络频谱感知算法的通用软件无线外设(USRP)实验结果,该算法是最近在基于ofdm的认知无线网络频谱观测中提出的。这是通过检测信号强度的变化来完成的,在各种受限的OFDM子载波被用来确保基本用户的可用性被方便地发现。进行了大量的实验,特别是信噪比(SNR)的影响。本文观察到,与仿真结果相比,实验结果的检测性能较低。这是由于存在其他系统在2.4GHz的同一频段上工作。
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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