المصدر: | مجلة كلية المأمون |
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الناشر: | كلية المأمون الجامعة |
المؤلف الرئيسي: | Zaal, Riam M. (Author) |
مؤلفين آخرين: | Al Jumaili, Hiba Khudhair Abbas (Co-Author) |
المجلد/العدد: | ع38 |
محكمة: | نعم |
الدولة: |
العراق |
التاريخ الميلادي: |
2022
|
الصفحات: | 284 - 307 |
DOI: |
10.36458/1253-000-038-011 |
ISSN: |
1992-4453 |
رقم MD: | 1351719 |
نوع المحتوى: | بحوث ومقالات |
اللغة: | الإنجليزية |
قواعد المعلومات: | EcoLink, IslamicInfo, HumanIndex |
مواضيع: | |
كلمات المؤلف المفتاحية: |
Localization | TOA | RSS | Hybrid & Wireless Insite
|
رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
المستخلص: |
The indoor localization, in general, suffers from several challenges, such as the reflection of signal, diffraction, and attenuation. With these problems, the error range is increased significantly and the accuracy will be reduced. To address those problems, a hybrid localization algorithm was proposed in this paper which aims to get the localization and estimation of several received points within the selected study area. Such algorithm was based on the use of Time of Arrival (ToA) and Received Signal Strength (RSS), which have been calculated via Wireless InSite (WI) software. The proposed algorithm works based on the Gaussian Newton algorithm (GNA). The results obtained showed higher accuracy in indoor environment localization, and accurate results for the coordination estimation and the separation distances between the AP's and Rx points. |
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ISSN: |
1992-4453 |