基于渐近高斯性的OFDM调制盲识别研究
Blind Identification of OFDM Modulation Based on Asymptotic Gaussian Analysis
为解决正确识别OFDM调制信号的问题,提出了一种新的OFDM调制盲识别算法。该算法充分利用OFDM时域包络渐近高斯性分布特点,对已有基于累积量的分类特征提取方法进行改进,提取信号的累积量及累积量比值作为联合特征参数,有效的抑制了瑞利多径衰落及高斯噪声对接收端识别性能的影响。该算法可在中频处直接处理,且不需要信号和信道的任何先验信息,可实现接收信号调制模式的“盲识别”。仿真实验表明SNR高于0dB时,识别率大于95%,证明了该方法的有效性。
novel identification algorithm is proposed to solve the problem of OFDM (Orthogonal Frequency Division Multiplexing) modulation’s recognition. By using the asymptotic Gaussian distribution of OFDM in time domain, HOC (Higher Order Cumulants) and cumulants rate are extracted from received signals to distinguish OFDM from other single carrier modulations. The distinctive features are improved from former algorithms, which can counteract the impact of both Rayleigh fading and Gaussian noise on receiving recognition rate effectively. The modulation identification algorithm is processed on intermediate frequency without any prior information of the received signal and channel parameters. So the method can be regarded as blind performance. Numerical results demonstrate the validity of the new algorithm, and show that over 95% recognition rate can be reached as the SNR is above 0dB.
岳文卿、郭黎利、吴丹
通信无线通信
正交频分复用调制盲识别渐近高斯性高阶累积量
OFDMblind modulation identificationasymptotic Gaussian signaturehigher order cumulants
岳文卿,郭黎利,吴丹.基于渐近高斯性的OFDM调制盲识别研究[EB/OL].(2008-06-24)[2025-08-21].http://www.paper.edu.cn/releasepaper/content/200806-575.点此复制
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