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A novel approach to estimation of Doppler frequencies of a time-varying communication channel

A new approach to estimation of characteristic frequencies (Doppler shifts) of periodically varying telecommunication channels is proposed. The cycles are estimated by means of performing parametric spectral analysis of the short-memory sliding window least squares estimates of channel coefficients obtained for the known, training part of the transmitted sequence. The new method offers better results than the existing approaches, both in terms of quality (better spectral resolution) and quantity (smaller estimation errors).