Klobukov V. A method of increasing the efficiency of the Doppler speedometer at the stage of processing the input signal

The dissertation solves the current scientific and technical problem of developing an algorithm for estimating the frequency of a discrete exponential signal based on spectral analysis in the basis of Vilenkin - Crestenson functions, as well as evaluating the effectiveness of this method and comparing it with the efficiency of the method based on fast Fourier transform. discrete-exponential functions. In the work: for the first time an algorithm for the formation of child symmetric basis systems was developed, which, in contrast to the existing ones, connects discrete-exponential functions, Walsh functions and Vilenkin-Crestenson functions; for the first time the method of calculation of values of decision thresholds at reception of the signal accepted against one-connected Markov noise in Vilenkin - Crestenson bases and discrete-exponential functions which provide necessary probabilistic characteristics of an estimation of frequency of a signal is offered; for the first time a method of isomorphic representation of discrete Vilenkin - Crestenson bases was proposed, which allowed to pass from complex-significant components of the base to their modular integer equivalents, which significantly simplified both analysis and synthesis of signal processing algorithms in these bases; The method of indicator matrices was proposed for the first time, which allows to synthesize a complete set of Vilenkin - Crestenson bases (including Walsh bases) with given parameters, and to exclude the factorization procedure of Vilenkin - Crestenson and Walsh matrices in the synthesis of fast Fourier transform algorithms in these Fourier transform bases. The practical significance of the obtained results is: development of a method for estimating the variance of harmonic quadratures in the spectral analysis of correlated noise in different bases .; developed algorithms for estimating the frequency of Doppler signal by spectral analysis in the bases of VKF.