Open AccessNumeric Low-Altitude Altimeter Modeling with Computation of Additional Modulation Frequencies Using a Genetic Algorithm
Author(s) -
В. Д. Захарченко,
Sergey Zakharchenko,
Open Systems Llc
Publication year - 2021
Publication title -
matematičeskaâ fizika i kompʹûternoe modelirovanie
Language(s) - English
Resource type - Journals
eISSN - 2587-6902
pISSN - 2587-6325
DOI - 10.15688/mpcm.jvolsu.2021.2.2
Subject(s) - modulation (music) , frequency modulation , algorithm , altimeter , computer science , mode (computer interface) , mathematics , remote sensing , acoustics , physics , telecommunications , radio frequency , geology , operating system
This study is concerned with the problem of increasing the accuracy of a low-altitude altimeter employing the frequency modulation principle. A way to suppress the “discrete error” of the altimeter by employing additional frequency modulation of the carrier wave and averaging the resulting counts is considered. The benefit of such approach is simplicity of technical implementation manifesting in minimal changes in the microwave path and the recording device, which needsto run in averaging count mode. This work presents a genetic algorithm for computing the array of additional modulation frequencies which can be used to reduce the mean square of the discrete error given a limited frequency band. Results of error calculations presented are obtained via mathematical modeling of the altimeter’s operation. It is shown that using additional modulation frequencies obtained by the genetic algorithm allows to reduce the average measurement error two times relatively to the linear modulation form without expanding the occupied frequency band.