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首页> 外文期刊>International Journal of Engineering Research and Applications >Performance Evaluation For Detection Of White Spaces In Cognitive-Ofdm Based Wireless Communications Networks
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Performance Evaluation For Detection Of White Spaces In Cognitive-Ofdm Based Wireless Communications Networks

机译:基于认知-ofdm的无线通信网络中空白空间检测的性能评估

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The radio electromagnetic spectrum is limited source for many wireless communication devices.many studies on wireless communication show that a large portion of our radio electromagnetic spectrum remains vacant all time .How this radio electromagnetic spectrum can be utilized more . cognitive radio is a solution to this problem. The cognitive radio, based on a software-defined radio. Cognitive radio is an advanced and intelligent wireless communication system that is aware of its environment and uses the methodology of understanding- by-building to learn from the environment and adapt to statistical variations in the input stimuli, with two primary objectives in mind:. there should be always highly reliability in communication network . . there should be proper utilization of the radio spectrum. Many research has proved that orthogonal frequency division multiplexing system (OFDM) has been proposed as a main candidate for cr's physical layer. Additionally, performance of a wide band spectrum analysis can be supported by Fast Fourier Transform (FFT) in an OFDM receiver. Multitaper spectrum estimation method (MTM) is a non-coherent promising spectrum sensing technique. It has solved the problems of bad biasing and large variance in power spectrum estimation .Biasing and Variance are two important parameters to calculate performance evaluation of any power spectrum estimation method
机译:无线电电磁频谱是许多无线通信设备的有限来源。许多对无线通信的研究表明,我们的无线电电磁频谱中有很大一部分一直都处于空闲状态。如何充分利用此无线电电磁频谱。认知无线电是解决这个问题的方法。认知无线电,基于软件定义的无线电。认知无线电是一种先进的智能无线通信系统,它了解其环境,并使用“逐个构建”的方法从环境中学习并适应输入刺激的统计变化,同时牢记两个主要目标:通信网络中应该始终保持高可靠性。 。应该适当利用无线电频谱。许多研究证明,正交频分复用系统(OFDM)已被提出作为cr物理层的主要候选者。另外,可以通过OFDM接收机中的快速傅里叶变换(FFT)支持宽带频谱分析的性能。多塔频谱估计方法(MTM)是一种非相干的有前途的频谱传感技术。它解决了功率谱估计中的偏差大和方差大的问题。偏置和方差是计算任何功率谱估计方法性能评估的两个重要参数

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