E.L. Tsaregorodtsev, A.V. Recovets, V.A. Drabov
Smolensk State Agrarian Academy, Bolshaya Sovetskaya Str., 10/2, Smolensk, 214000, Russia
E-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.
Summary. Fertilization technology of precision agriculture is to use navigation equipment. At that, the standard error of the position of the modern GPS receivers is about 5 meters, which can significantly deteriorate because of the different impacts of specific radar interference on the field. The proposed model of process control precision navigation systems will significantly reduce measurement error locations of objects. Kalman filtering is an important part of management theory. It allows you to control laws that provide maximum (minimum) of a given set of selected quality criteria. The aim of research was to increase the accuracy of coordinate measuring navigation devices tractor units with the help of algorithmic methods for processing the information required. One of the problems of statistical decision theory involves the assessment of the state vector and the selected parameters of these systems. Model adaptive filter for suppression of noise in the additive mixture signal and the white noise allows a sufficient accuracy purify the wanted signal from noise and select desired information. This minimizes the mean square error space position of the GPS receiver to the required level, which can be an order of magnitude smaller than that of modern GPS systems. The results of the filter model confirmed by mathematical modeling.
Keywords: positioning system, the accuracy of the measurement, optimal control, interference.
Author Details: E.L. Tsaregorodtsev, Cand. Techn. Sci., Associate Prof. (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.); A.V. Recovets, Cand. Techn. Sci., Associate Prof.; V.A. Drabov, Cand. Techn. Sci., Associate Prof.
For citation: Tsaregorodtsev E.L., Recovets A.V., Drabov V.A. One of the ways to improve the accuracy of positioning systems machine-tractor units. Dostizheniya nauki i tekniki APK. 2014. T.28. №11. pp. 69-70 (In Russ)