Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems
Using the Neural network as a type of associative memory will be introduced in this paper through the problem of mobile position estimation where mobile estimate its location depending on the signal strength reach to it from several around base stations where the neural network can be implemented in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad
2017-01-01
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| Series: | Journal of Engineering |
| Online Access: | https://www.jcoeng.edu.iq/index.php/main/article/view/273/239 |
| _version_ | 1827837568838795264 |
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| author | Omar Waleed Abdulwahhab Sally Antoin Jergees |
| author_facet | Omar Waleed Abdulwahhab Sally Antoin Jergees |
| author_sort | Omar Waleed Abdulwahhab |
| collection | DOAJ |
| description | Using the Neural network as a type of associative memory will be introduced in this paper through the problem of mobile position estimation where mobile estimate its location depending on the signal strength reach to it from several around base stations where the neural network can be implemented inside the mobile. Traditional methods of time of arrival (TOA) and received signal strength (RSS) are used and compared with two analytical methods, optimal positioning method and average positioning method. The data that are used for training are ideal since they can be obtained based on geometry of CDMA cell topology. The test of the two methods TOA and RSS take many cases through a nonlinear path that MS can move through that region. The results show that the neural network has good performance compared with two other analytical methods which are average positioning method and optimal positioning method. |
| first_indexed | 2024-03-12T06:45:43Z |
| format | Article |
| id | doaj.art-f3fa9bceadcf4e9b87ba93d8369d8f22 |
| institution | Directory Open Access Journal |
| issn | 1726-4073 2520-3339 |
| language | English |
| last_indexed | 2024-03-12T06:45:43Z |
| publishDate | 2017-01-01 |
| publisher | University of Baghdad |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj.art-f3fa9bceadcf4e9b87ba93d8369d8f222023-09-03T00:38:47ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392017-01-0123183102Mobile Position Estimation using Artificial Neural Network in CDMA Cellular SystemsOmar Waleed AbdulwahhabSally Antoin JergeesUsing the Neural network as a type of associative memory will be introduced in this paper through the problem of mobile position estimation where mobile estimate its location depending on the signal strength reach to it from several around base stations where the neural network can be implemented inside the mobile. Traditional methods of time of arrival (TOA) and received signal strength (RSS) are used and compared with two analytical methods, optimal positioning method and average positioning method. The data that are used for training are ideal since they can be obtained based on geometry of CDMA cell topology. The test of the two methods TOA and RSS take many cases through a nonlinear path that MS can move through that region. The results show that the neural network has good performance compared with two other analytical methods which are average positioning method and optimal positioning method.https://www.jcoeng.edu.iq/index.php/main/article/view/273/239 |
| spellingShingle | Omar Waleed Abdulwahhab Sally Antoin Jergees Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems Journal of Engineering |
| title | Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems |
| title_full | Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems |
| title_fullStr | Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems |
| title_full_unstemmed | Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems |
| title_short | Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems |
| title_sort | mobile position estimation using artificial neural network in cdma cellular systems |
| url | https://www.jcoeng.edu.iq/index.php/main/article/view/273/239 |
| work_keys_str_mv | AT omarwaleedabdulwahhab mobilepositionestimationusingartificialneuralnetworkincdmacellularsystems AT sallyantoinjergees mobilepositionestimationusingartificialneuralnetworkincdmacellularsystems |