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针对认知无线电中的频谱分析问题,在软件无线电构架下给出一种数字通信系统信噪比盲估计模型。分析了数字通信系统中缓变区的存在性,并根据数字通信信号的循环平稳特性给出了信号缓变区的选择方法。提出了一种基于缓变消除的信噪比盲估计算法,该方法不需要通信系统发送目标波形。仿真分析表明,所提方法能够准确找到数字通信信号的缓变区,对各种数字通信系统都具有较好的信噪比估计性能。
Aiming at the problem of spectrum analysis in cognitive radio, a signal-to-noise blind estimation model of digital communication system is given under the framework of software radio. The existence of slowly changing region in digital communication system is analyzed. And the method to choose the signal changing region is given according to the cyclostationarity of digital communication signal. A blind SNR estimation algorithm based on slowly changing cancellation is proposed. This method does not need the communication system to send the target waveform. Simulation analysis shows that the proposed method can find the slowly changing region of digital communication signal accurately and has good SNR estimation performance for various digital communication systems.