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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۲، شماره ۱، صفحات ۲۱-۲۸

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عنوان انگلیسی Increasing Accuracy of Combined GPS and GLONASS Positioning using Fuzzy Kalman Filter
چکیده انگلیسی مقاله In this paper, combined GPS and GLONASS positioning systems are discussed and some solutions have been proposed to improve the accuracy of navigation. Global Satellite Navigation System (GNSS) is able to provide position, velocity and time with respect to Coordinated Universal Time (UTC). GNSS positioning is based on received satellite signals, so its performance is highly dependent on the quality of these received signals. The effect of noise and multi-path can often be large enough to produce significant errors in positioning. Satellite navigation is difficult in this situation. In such circumstances, GPS or GLONASS alone are often not able to ensure consistency and accuracy in positioning due to the absence (or low quality) of signals. The combination of these two systems is an appropriate solution to improve the situation. In positioning a receiver, one of the ways that is often used to reduce the error due to observation noise and calculation errors is Kalman Filter (KF) estimation. In this paper, some changes in the structure of the KF is applied to improve the accuracy of positioning. Process of updating KF's gain, is done in fuzzy form based on the parameters available in RINEX files, including the P code pseudo-range used as an input of the proposed fuzzy system. Simulation results show that applying a fuzzy KF based on P code pseudo-range on the available data sets, in terms of noise and blocking condition, reduced the positioning error respectively from 24 to 14 meters and 90 to 25 meters.
کلیدواژه‌های انگلیسی مقاله GNSS, GPS, GLONASS, Signal Blocking, Fuzzy, Kalman Filter

نویسندگان مقاله m موسوی moaiied | m mousavi moaiied
narmak, tehran 16846-13114, iran


محمدرضا موسوی | m r mosavi
narmak, tehran 16846-13114, iran



نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-78-11&slc_lang=en&sid=en
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 3-Control, Estimation & Optimization
نوع مقاله منتشر شده Research Paper
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