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: | Omar Waleed Abdulwahhab, Ass. Prof. Dr., Sally Antoin Jergees |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Baghdad
2016-01-01
|
Series: | Journal of Engineering |
Subjects: | |
Online Access: | http://joe.uobaghdad.edu.iq/index.php/main/article/view/273 |
Similar Items
-
Mobile Position Estimation using Artificial Neural Network in CDMA Cellular Systems
by: Omar Waleed Abdulwahhab, et al.
Published: (2017-01-01) -
Rainfall-Runoff Modeling Using Artificial Neural Network—A Case Study of Purna Sub-Catchment of Upper Tapi Basin, India
by: Usman Mohseni, et al.
Published: (2023-03-01) -
A Survey of Latest Wi-Fi Assisted Indoor Positioning on Different Principles
by: Jihan Dai, et al.
Published: (2023-09-01) -
A 3D mobile positioning method based on deep learning for hospital applications
by: Qingqing Zhang, et al.
Published: (2020-09-01) -
Indoor Positioning of Low-Cost Narrowband IoT Nodes: Evaluation of a TDoA Approach in a Retail Environment
by: Daniel Neunteufel, et al.
Published: (2022-03-01)