Estimation of coordinates of a radio radiation source at direction finding in the process of motion based on dynamic neural networks
DOI:
https://doi.org/10.3103/S0735272705090098Abstract
The paper considers an algorithm for estimating the coordinates of radio radiation sources from measurements in the process of motion of a single radio direction finder. The algorithm is devised as a set of recurrent neural networks, with delays of inputs, a feedback, and a prediction model. Analysis of characteristics of coordinate estimation accuracy is performed — as compared with the statistical adaptive algorithm of filtering and with regard to the potential boundary of the error of optimal estimates.References
AFANAS’YEV, V.I.; KIRSANOV, E.A.; SIROTA, A.A. [Neirosetevye i statisticheski optimalnye algoritmy ocenki koordinat istochnikov radioizlucheniia v mnogopozitcionnykh radiosistemakh]. Radiotekhnika, n.10, p.87-91, 2003.
SIROTA, Alexander A.; KIRSANOV, E.A. 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. Radioelectron. Commun. Syst., v.48, n.3, p.43-49, 2005. URI: http://radioelektronika.org/article/view/S0735272705030076.
TIKHONOV, V.I.; KHARISOV, V.N. Statistical Analysis and Synthesis of Radio-Engineering Devices and Systems [in Russian]. Moscow: Radio i Svyaz’, 1991.
SIROTA, A.A.; KIRSANOV, E.A. [Ocenka koordinat istochnika radioizlucheniia pri pelengovanii v protcesse dvizheniia na osnove kvazioptimalnogo adaptivnogo algoritma filtratcii]. Data-Measuring and Control Systems, n.5, p.87-91, 2004.
YEFIMENKO, V.S.; KHARISOV, V.N.; STREBKOV, Y.G. [Primenenie neironnykh setei v zadachakh optimalnoi filtratcii]. Radiotekhnika, n.7, p.56-61, 2000.
POKALOV, V.A. [Filtratciia markovskikh posledovatelnostei s pomoshchiu iskusstvennykh neironnykh setei]. Neural Computers: Design & Application, n.12, p.21-25, 2002.
OSOVSKII, S. Neural Networks for Information Processing [in Russian]. Moscow: Finansy i Statistika, 2002.
BEREZIN, L.V.; VEITSEL’, V.A. Theory and Design of Radio Systems [in Russian]. Moscow: Sov. Radio, 1977.
PARLOS, A.G.; MENON, S.K.; ATIYA, A. An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Trans. Neural Networks, v.12, n.6, p.1411-1432, 2001. DOI: https://doi.org/10.1109/72.963777.
