FRACTIONALLY-SPACED BLIND EQUALIZATION USING POLYPERIODIC LINEAR-FILTERING

Performance of fractionally spaced equalizers using polyperiodic linea r filtering is depicted in this paper, The fractionally sampled versio n of an arbitrary stable channel's outputs with stationary random inpu ts exhibit cyclostationarity with cycle frequencies being integer mult iples of the reciprocal of the oversampling factor, Bg optimally polyp eriodic linear filtering the oversampled outputs, we can fully utilize the cyclostationary property, With some traditional Bussgang techniqu es, such as stop-and-go decision-directed method, to adaptively update the filter coefficients, the convergence rate of the fractionally spa ced equalizers proposed here is improved, while the complexity retains in the same order as original Bussgang ones, Some computer simulation results are shown to demonstrate the improvement we can achieve.