Suffering from the exploitation of the cyclostationary property at only one cycle frequency

the existing SC-SSF algorithm can not reach the best performance.By using the minimum-variance spectral estimate method

a new approach exploiting the cyclostationary property at multiple cycle frequencies is discussed in the paper.Firstly

by using the Jacobi-Anger expansion

the direction matrix can be divided into two parts.Secondly

the transforming matrix can be formed according to the two parts.Thirdly

the minimum-variance spectral estimate method is used to estimate the direction.Simulation results demonstrate the effectiveness and superiority of the new approach over the single-cycle SC-SSF algorithm and the conventional focusing transform algorithm for wide-band singals.