Statistically optimal and neural-network algorithms for estimation of source’s coordinates with integration of information in angle-measuring and difference-type range-measuring multi-position radio systems

Authors

  • Alexander A. Sirota Voronezh State University, Russian Federation
  • E. A. Kirsanov Zhukovsky–Gagarin Air Force Academy, Russian Federation

DOI:

https://doi.org/10.3103/S0735272705030076

Abstract

The paper describes several variants of algorithms for estimation of coordinates based on simultaneous usage of information from angle-measuring and difference-type range-measuring multi-position radio systems using neural networks with their learning by the method of error backward propagation. Comparative analysis of the suggested algorithms with some known ones is performed.

References

TIKHONOV, V.I.; KHARISOV, V.N. Statistical Analysis and Synthesis of Radio-Engineering Devices and Systems [in Russian]. Moscow: Radio i Svyaz’, 1991.

DMITRIYEV, P.P.; SHEBASHAYEVITCH, V.S. (ed.). Network Satellite Radio-Navigation Systems [in Russian]. Moscow: Radio i Svyaz’, 1982.

D’YAKONOV, V.; and KRUGLOV, V. Mathematical Packages for MATLAB Extension — Special Handbook [in Russian]. Sent-Petersburg: Piter, 2001.

СALLAN, R. The Essence of Neural Networks. Prentice Hall Europe, 1999.

OSOVSKII, S. Neural Networks for Information Processing [in Russian]. Moscow: Finansy i Statistika, 2002.

AFANAS’YEV, V.I.; KIRSANOV, E.A.; SIROTA, A.A. Radiotekhnika, n.10, p.87-91, 2003.

OKHRIMENKO, A.G. Radioelectron. Commun. Syst., v.45, n.9, p.53-58, 2002.

BAGDASARYAN, S.T.; KHACHATUROV, V.R. Radiotekhnika i Elektronika, n.10, p.1839-1846, 1992.

Published

2005-03-07