By employing spectral-correlation analysis method

the problem of optimally filtering the cyclostationary signals is discussed in this paper.Based on the max-output-SNR criterion

the analytic expression for the cyclic correlation matched filter (CCMF) is derived

which is just the same as the conventional matched filter except for different signal models.But since the filtering performance for CCMF is primarily related to the selected cycle frequency

which is not unique for most cyclostationary signals

single-cycle CCMF shares the disadvantage of utilizing the incomplete signal information.CCMF bank utilizing multi-cycle frequencies is therefore studied and an optimum structure for the CCMF bank is developed

also based on the max-output-SNR criterion.Simulations on AM signals and BPSK signals are also performed to determine the performance advantage between the spectral-correlation method and cyclic correlation matched filtering method.Simulation results verify the performance for the proposed methods.