A NEW SELF-TUNING ALGORITHM FOR THE FREQUENCY ESTIMATION OF DISTORTED SIGNALS

This paper introduces a new self-tuning digital signal processing algorithm for local system frequency deviation measurement. The algorithm is derived using the non-recursive Least Error Square Technique accompanied with an updating procedure, which generally improves the algorithm properties: the measurement range, the immunity to a random noise and the accuracy. The algorithm developed takes into account the components of the fundamental frequency, the second through the M-th harmonics and a decaying DC component, so it could be used for the real-time distorted signals frequency estimation as well as for the harmonics measurement. To demonstrate the efficiency of the algorithm proposed, the results of the computer simulated, experimentally obtained and real-life data records tests are presented.