Indoor Positioning Using Artificial Neural Network with Field Programmable Gate Array Implementation

• Main Authors: Syahrulanuar, Ngah, Rohani, Abu Bakar, Suryanti, Awang
• Format: Article
• Language: English
• Published: American Scientific Publisher 2018
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/19956/1/49.%20Indoor%20Positioning%20Using%20Artificial%20Neural%20Network%20with%20Field%20Programmable%20Gate%20Array%20Implementation1.pdf; http://umpir.ump.edu.my/id/eprint/19956/; https://doi.org/10.1166/asl.2018.12985
• Institution: Universiti Malaysia Pahang

Indoor positioning required fast and accurate result. This paper applied the artificial neural network (ANN) as a system for calculating the target in indoor environment. To speed up the calculation time, ANN then is run into field programmable gate array (FPGA). Since the original sigmoid function...