摘要
针对α稳定分布噪声下通信信号载波频率估计困难的问题,文中提出一种改进频域居中算法。首先,采用非线性变换和自适应阈值来降低α稳定分布噪声对接收信号的干扰;然后,通过频域居中算法对阈值以上的峰值进行迭代估计;最后,使用GNU Radio和通用软件无线电外设(USRP)采集真实通信信号对文中算法进行验证。实验结果表明,文中算法在混合信噪比(MSNR)≤-5 dB时,载波频率估计性能有显著提升,具有一定的工程实用性。
It is difficult to estimate the carrier frequency of communication signals underα⁃stable distribution noise,so an improved frequency domain centering algorithm is proposed.Nonlinear transformation and adaptive threshold are used to reduce the interference ofα⁃stable distribution noise on the received signal.The peak value above the threshold value is estimated iteratively by frequency domain centering algorithm.GNU Radio and universal software radio peripheral(USRP)are used to collect real communication signals to verify the proposed algorithm.Experimental results show that when MSNR(mixed signal⁃to⁃noise ratio)≤-5 dB,the performance of carrier frequency estimation is improved significantly,so the proposed algorithm has a certain engineering practicability.
作者
马宇杰
郭兴龙
MA Yujie;GUO Xinglong(School of Information Science and Technology,Nantong University,Nantong 226019,China)
出处
《现代电子技术》
北大核心
2025年第11期17-22,共6页
Modern Electronics Technique
基金
国家自然科学基金资助项目(62074086)。
关键词
通信信号
非线性变换
Α稳定分布噪声
载波频率估计
USRP
频域居中算法
communication signal
nonlinear transformation
α⁃stable distribution noise
carrier frequency estimation
USRP
frequency domain centering algorithm
