Zakharchenko V.D., Zakharchenko S.V. Numeric low-altitude altimeter modeling with computation of additional modulation frequencies using a genetic algorithm

Details
Hits: 341

https://doi.org/10.15688/mpcm.jvolsu.2021.2.2

Vladimir D. Zakharchenko
Doctor of Technical Sciences, Professor, Professor Of Department of Radiophysics,
Volgograd State University
This email address is being protected from spambots. You need JavaScript enabled to view it.
Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation

Sergey V. Zakharchenko
Candidate of Physical and Mathematical Sciences, Senior Programmer,
Open Systems LLC
This email address is being protected from spambots. You need JavaScript enabled to view it.
Kirova St, 121a, apt. 213, 400067 Volgograd, Russian Federation

Abstract. 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.

Key words: low-altitude altimeter; double frequency modulation; distance measurement accuracy; genetic algorithm.

Creative Commons License
Numeric low-altitude altimeter modeling with computation of additional modulation frequencies using a genetic algorithm by Zakharchenko V.D., Zakharchenko S.V. is licensed under a Creative Commons Attribution 4.0 International License.

Citation in English: Mathematical Physics and Computer Simulation. Vol. 24 No. 2 2021, pp. 18-26

Attachments:
Download this file (Zakharchenko_2_2021-18-26.pdf) Zakharchenko_2_2021-18-26.pdf
URL: https://mp.jvolsu.com/index.php/en/component/attachments/download/999		449 Downloads