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Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems | ||
| Journal of Engineering | ||
| Article 1, Volume 22, Issue 1, 2016, Pages 83-102 | ||
| Authors | ||
| Omar Waleed Abdulwahhab; Sally Antoin Jergees | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Feed Forward neural network; time of arrival; received signal strength; back propagation; optimal positioning method; and average positioning method | ||
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