Comparison of Various Neural Network Algorithms Used for Location Estimation in Wireless Communication
In recent years, artificial neural network has been the topic of great interest in the field of wireless communication in different ways. To enhance the accuracy of location estimation, the authors propose the various neural network algorithms i.e. Resilient back-propagation (Rprop), Levenburg-Marquardt (LM), Conjugate Gradient with Polak-ribiere updates (CGP), Conjugate Gradient with Fletcher-reeves updates (CGF) utilizing the Time Of Arrival (TOA) measurement information in presence of NLOS error to locate the Mobile Station (MS) with three base station available.
Provided by: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE) Topic: Enterprise Software Date Added: Jun 2013 Format: PDF