摘要
基于单音信号重构的识别算法是无线电频谱监测中比较常用的识别方法,针对该算法存在运算量较大、实时性差的问题,提出了一种新的单音信号快速识别算法。基于单音信号重构的识别算法是先利用两次FFT(Fast Fourier Transform)构建出单音信号模板,再通过计算单音模板与目标信号之间的相关系数,来分类识别出单音信号。而新方法推导出只做一次FFT却等价于2次FFT的相关模板匹配识别的快速计算方法,新算法相比已有算法的运算量减少近一半,识别性能与已有算法一致。仿真试验证明了新方法的可行性和有效性。
The single tone recognition algorithm based on signal reconstruction method is a common recognition method in radio spectrum monitoring,which has high computation and bad real-time.In view of these problems,a new and fast recognition algorithm for single tone signal is put forward.The traditional method uses the twice FFT to construct the single tone signal template,and then calculates the correlation coefficient between the signal template and target signal to identify and classify single tone signal. And the new method is derived from the fast calculation method of FFT,which is equivalent to two times FFT. Compared with the traditional algorithm,the new algorithm reduces the computational complexity and has the same performance as the existing algorithm. The feasibility and effectiveness of the new method are demonstrated by simulation experiments.
出处
《无线电通信技术》
2016年第3期52-54,101,共4页
Radio Communications Technology
基金
国家部委基金资助项目
关键词
频谱监测
单音
识别
FFT
spectrum monitoring
single tone
recognition
FFT
