射频干扰环境下OFDM系统的盲信号干扰噪声比估计

发布时间：2018-11-04 14:57

【摘要】：基于OFDM信号的循环平稳特性,提出一种在射频干扰环境下OFDM系统的盲信号干扰噪声比估计方法。通过分析发送信号,射频干扰信号以及高斯白噪声的周期自相关函数能量分布规律,选取合适的延时变量和循环频率在功率谱域能有效分离信号功率和干扰加噪声功率分量,从而估计出信号干扰噪声比值。计算机仿真结果表明,和经典的二阶四阶矩(M2M4,second-order and fourth-order moments)盲信号干扰噪声比估计方法相比,新方法不仅能够有效估计射频干扰环境下OFDM系统的信号干扰噪声比值,而且无论是估计性能还是复杂度都优于M2M4方法;同时在快衰落Rayleigh信道下,新方法也能有效地估计出信号干扰噪声比值。进一步,所提方法具有对射频干扰信号密度不敏感的优点。
[Abstract]:Based on the cyclic stationary characteristic of OFDM signal, a blind signal noise ratio estimation method for OFDM system under RF interference environment is proposed. By analyzing the energy distribution of the periodic autocorrelation function of transmitted signal, radio frequency interference signal and Gao Si white noise, the signal power and interference plus noise power component can be effectively separated in the power spectrum domain by selecting appropriate delay variables and cycle frequency. The ratio of signal interference and noise is estimated. The computer simulation results show that compared with the classical M2M4 second-order and fourth-order moments blind signal noise ratio estimation method, the new method can not only effectively estimate the ratio of interference to noise in OFDM system under RF interference. Moreover, both the estimation performance and the complexity are better than the M2M4 method. At the same time, in fast fading Rayleigh channel, the new method can also effectively estimate the ratio of signal interference to noise. Furthermore, the proposed method is insensitive to RF interference signal density.
【作者单位】：宁波大学通信技术研究所;浙江交通职业技术学院信息学院;
【基金】：国家自然科学基金资助项目(61071119) 浙江省教育厅科研基金资助项目(Y201224625) 宁波市自然科学基金资助项目(2012A610017)~~
【分类号】：TN911.4

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