spectral correlation subspace direction finding method based on symmetric cycle frequencies

The invention discloses a spectral correlation subspace direction finding method based on symmetric cycle frequencies. Cyclic autocorrelation functions are established according to cyclostationarity of received signals, and by utilizing weak correlation between the cyclic autocorrelation functions of the symmetric cycle frequencies, a cyclic cross correlation matrix is constructed, so that direction finding accuracy is superior to that of an existing spectral correlation subspace direction finding method, and the spectral correlation subspace direction finding method has a higher direction finding correct probability. 本发明公开了基于对称循环频率的谱相关子空间测向方法，依据接收信号的循环平稳特性建立循环自相关函数，利用对称循环频率的循环自相关函数之间的弱相关性，构造循环互相关矩阵，使测向的精度优于现有谱相关子空间测向方法，且具有更高的测向正确概率。