این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Electrical and Electronic Engineering، جلد ۱۶، شماره ۲، صفحات ۱۹۲-۲۰۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی GDOP Classification and Approximation by Implementation of Time Delay Neural Network Method for Low-Cost GPS Receivers
چکیده انگلیسی مقاله Geometric Dilution of Precision (GDOP) is a coefficient for constellations of Global Positioning System (GPS) satellites. These satellites are organized geometrically. Traditionally, GPS GDOP computation is based on the inversion matrix with complicated measurement equations. A new strategy for calculation of GPS GDOP is construction of time series problem; it employs machine learning and artificial intelligence methods for problem-solving. In this paper, the Time Delay Neural Network (TDNN) is introduced to the GPS satellite DOP classification. The TDNN has a memory for archiving past event that is critical in GDOP approximation. The TDNN approach is evaluated all subsets of satellites with the less computational burden. Therefore, the use of the inverse matrix method is not required. The proposed approach is conducted for approximation or classification of the GDOP. The experiments show that the approximate total RMS error of TDNN is less than 0.00022 and total performance of satellite classification is 99.48%.
کلیدواژه‌های انگلیسی مقاله GDOP, GPS, Approximation, Classification, TDNN.
نویسندگان مقاله | M. H. Refan
Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Lavizan, Tehran, Iran.


| A. Dameshghi
Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Lavizan, Tehran, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-222-9&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/446/article-446-2428127.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 5-Signal Processing
نوع مقاله منتشر شده Research Paper
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات