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博士学位论文，详细探讨基于OFDM的认知无线电系统信道及频谱感知-Channel, spectrum, and waveform awareness in OFDM-based cognitive radio systems.pdf
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针对在无线电监测和认知无线电系统中,信号参数估计这一重要问题,证明了OFDM信号具有循环平稳性的必要条件是加循环前缀或有非矩形脉冲成型,并以线性周期时变变换(LPTV)模型为基础,推导了OFDM信号的循环谱表达式-For radio monitoring and cognitive radio systems, signal parameter estimation of this important issue, the necessary condition for the OFDM sig
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针对无线电监测和认知无线电系统中正交频分复用(OFDM) 信号参数估计这一重要问题,提出了用频域累积法算OFDM 信号的循环自相关函数的数值计算方法.-For radio monitoring and cognitive radio systems, orthogonal frequency division multiplexing (OFDM) signal parameter estimation of this important issue, the accumulation meth
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针对认知无线电系统中正交频分复用( OFDM )信号参数估计这一重要问题, 利用OFDM 信号的循环谱实现了符号周期的盲估计。-For cognitive radio systems, orthogonal frequency division multiplexing (OFDM) signal parameter estimation of this important issue, the cyclic spectrum of the OFDM signal to achieve the
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Spectral Efficiency Analysis in OFDM and
OFDM/OQAM based Cognitive Radio Networks
The future wireless communication is expected to
be able to improve the efficiency of spectrum usage. To solve the challenge of spectrum shortage, an innovativ
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该程序用于基于认知无线电NC-OFDM系统的仿真，用来计算信号的功率谱密度-The program for the NC-OFDM Cognitive Radio system simulation for calculating the power spectral density of the signal。
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To fully exploit wireless radio resource and, thus,
increase spectrum efficiency, cognitive radios shall sense wire-
less environments and identify interference to allow opportunis-
tic transmissions for secondary systems. Based on Chen et al.
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