Third-Generation Algorithm for Implementation of the Method of Mirror Noise Images for Information Measurement Systems

Abstract

A third-generation algorithm that implements the method of mirror noise images for extracting a useful signal from noise is developed. In the proposed algorithm initial processing of the initial signal is realized by means of a second-generation algorithm and the second half of the signal is then generated by a reversal of that segment of the signal where the noise is suppressed. The useful signal is practically invariant in the newly created signal while the noise signal is substantially distorted which in the course of subsequent filtration leads to an additional increase in the signal-to-noise ratio by comparison to narrow-band filtration of signals and the first- and second-generation algorithms. The algorithm is intended for information-measurement systems that function according to the principle, switched on – measured – switched off. It is shown that the new algorithm produces a substantial gain in signal-to-noise ratio by comparison with narrow-band filtration of signals and the first- and second-generation algorithms.