Abstract. The current methodology for correcting angle-modulated signals is rather limited. It primarily relies on modified Wiener filter methods, which are applicable only to linear modulations. For nonlinear modulations, heuristic algorithms are typically employed, whose effectiveness is challenging to evaluate from a theoretical perspective. This paper proposes an algorithm for correcting angle-modulated signals using the theory of hidden Markov models (HMMs), which can predict errors in the demodulated bitstream. The proposed algorithm is distinguished by its high degree of parallelizability, enabling efficient implementation on GPUs or vector processing units in CPUs, thereby ensuring high computational speed.

Keywords: algorithm, digital signal processing, computer simulation, hidden Markov models, HMM, signal correction

For citation: Meshkov S. A., Bogachev M. A. Application of a bitstream corrector based on hidden markov models for demodulating angle-modulated signals. Aerospace Engineering and Technology. 2024. Vol. 2, no. 4, pp. 46–56. DOI 10.52467/2949-401X-2024-2-4-46-56. EDN SGCPJM (In Russian)