The article reviews an algorithm of digital signal processing to implement computation of the amplitude of signal envelope, its frequency and initial phase. It also estimates performance accuracy reached owing to ideal model algorithm and its implementation. The practical implementation of the algorithm is part of the system exploring signal parameters.The goal was to test the algorithm capability to work in conditions of a priori uncertainty, having only input samples and measuring radio signal Gate [1], its capability to calculate the parameters of the radio signal with different modulation types while maintaining accuracy. Characterisation of radio signals is a very important process in radio engineering as having radio signal parameters can provide information about modulation radio signal and, consequently, information contained therein.Due to the high complexity of the algorithm, its mathematical description seems to be impossible, so construction of simulation models was chosen as a research tool. Practical implementation of the algorithm comprises a Hilbert transformer based on the FIR filter, a calculating unit of the amplitude envelope, a calculating unit of the phase detector signal, and a detector of the phase jumps. The article has discussed the algorithm in-detail and has shown deviations of values obtained in the practical implementation of the algorithm against the modeling ones. For the development and debugging of the algorithm programme, was created the Mathcad environment. The simulation results are also presented in the article.The running algorithm was tested under pulsed signal at the input, pulse signal at the FMmodulated input, and FM modulation noisy signal. Its accuracy is evaluated in comparison with the model. Dependence of envelope amplitude RMS versus dimensionality of the input signal was investigated as well. As a result, the optimum dimension of input signal was selected, as well as the accuracy of the algorithm in terms of a priori uncertainties was estimated.В статье рассмотрен алгоритм цифровой обработки сигналов, реализующий вычисление амплитуды огибающей сигнала, его частоты и начальной фазы, а так же была проведена оценка точности вычисленных характеристик. Практическая реализация алгоритма является частью системы, исследующей параметры сигнала. Целью работы было проверить способность алгоритма работать в условиях априорной неопределенности, имея на входе только отсчеты радиосигнала и измерительного строба [1]. Ввиду высокой сложности алгоритма, описание его математически не представляется возможным, поэтому в качестве аппарата для исследования было выбрано построение имитационной модели. В результате работы была исследована зависимость СКО амплитуды огибающей в зависимости от размерности входного сигнала, а так же оценена точность работы алгоритма в условиях априорной неопределенности. DOI: 10.7463/rdopt.0515.081296
