Определение местоположения по данным гравитационного градиентометра с применением нейро-нечеткого моделирования
https://doi.org/10.17285/0869-7035.2014.22.4.085-098
Abstract
This paper proposes a novel method for position determination by using neuro-fuzzy modeling and gravity gradient instrument data, which also can serve as a navigation aid to inertial navigation system using a Kalman filter. Since great majority of changes in gravity gradients are due to terrain, terrain elevation data are just used to model the gravity gradients at test location. To demonstrate the potential performance of this method, two cases including rough and smooth terrain are investigated, and impressive navigation accuracy is produced. Also the suitability of the proposed method for the use in different altitudes is compared.
About the Authors
С. Рахмати
Университет г. Бирджанд, факультет электротехники
Islamic Republic of Iran
Islamic Republic of Iran
К. Кианфар
Университет имени имама Хусейна, Исследовательский центр Гадр (г. Тегеран)
Islamic Republic of Iran
Islamic Republic of Iran
А. А. Калат
Технологический университет, факультета электротехники (г. Шахруд)
Islamic Republic of Iran
Islamic Republic of Iran
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, , . Giroskopiya i Navigatsiya. 2014;22(4):85-98. (In Russ.) https://doi.org/10.17285/0869-7035.2014.22.4.085-098
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