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A New Method of Direct Position Determination Based on RBF Neural Network(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年02期
Page:
79-83
Research Field:
Publishing date:

Info

Title:
A New Method of Direct Position Determination Based on RBF Neural Network
Author(s):
Wang Fan; Ke Wei
School of Physical Science and Technology,Nanjing Normal University,Nanjing 210046,China
Keywords:
direct position determination; RBF neural network;  received signal strength
PACS:
TN929.5
DOI:
-
Abstract:
Due to the fact that the existing method of Direct Position Determination ( DPD) ignored the channel impact from base stations to the location center，this paper takes the mobile station as the location center to get the location information contained in the signal transmitted by base stations． When the signal returns，the mapping relationship between the received signal strength and the location can be built with RBF neural network． This approach recognizes the label of several regular areas divided in advance，and then conducts a DPD search in this small area in which the mobile station locates． In this way the search time can be greatly reduced． Simulation results show that the accuracy of this method is superior to the conventional DPD method，and that especially，the improvement is particularly evident in the condition of low SNR．

References:

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Last Update: 2013-03-21