Channel blind identification based on cyclostationarity and group delay

ew approach for channel blind identification based on second order cyclostationary statistics and the group delay een proposed. In this, two methods are proposed. In both the methods, the correction is applied to the basic phase ate for both the poles and zeros, in the group delay domain. The basic phase estimate is derived from the spectral lation density (SCD) of the system output. In the first method, the phase correction is based on magnitude group . In the second method, not only the phase correction but also an improved system magnitude estimate of better nce and frequency resolution is derived based on modified magnitude group delay. The results indicate a significant vement in performance for both the methods. For the first method in the absence of noise, the percentage alized mean square error is reduced by about 85% over that of the existing non-parametric method. The second od in the presence of noise (SNR 1⁄4 5 dB), provides a reduction of 74% over the existing non-parametric method 7% over the existing combined parametric and non-parametric methods.