M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 4 Issue 2, February 2015
Wireless Ranging Performance Improvement Technique
Neethu Verjisen, Ajily Rachel Varghese
Abstract: In the last few years many research efforts have been focused on various wireless measurement techniques for indoor object positioning. In this paper we focuses on the performance improvement of the classical wireless ranging techniques such as RSS approach and ToF approach. The novalty of the proposed method is a data fusion algorithm which combines the data obtained through the RSS approach and ToF approach with the aid of a kalman filter. The advantage of this proposed algorithm is that it provides great improvement in wireless ranging. The algorithm has been implemented and simulated to check the performance of the proposed system. The result obtained shows that there is typical improvement in the ranging accuracy and the combination of these two classical approach can significantly reduce the measurement uncertainity
Keywords: ranging measurement, kalmanfiltering, ToF and RSS approach, timestamping
Edition: Volume 4 Issue 2, February 2015,
Pages: 2199 - 2202
How to Cite this Article?
Neethu Verjisen, Ajily Rachel Varghese, "Wireless Ranging Performance Improvement Technique", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB151704, Volume 4 Issue 2, February 2015, 2199 - 2202
How to Share this Article?
Similar Articles with Keyword 'ranging'
Reproduction of Remote Sensed Images Using Artificial Neural Network
Aarsi Saini, Sukhvinder Kaur
Estimation of Growth Rate of Davanagere District using Multispectral Image using ENVI 4.7
Veerendra T M, Latha B M
Similar Articles with Keyword 'measurement'
Design of Air Quality Analysis Monitoring Using LoRaMOTE Developing Module
Dr. L. Thulasimani, S. Sangeetha Mary, Vimalathithan Rathinasabapathy
Verification of a Readout Design for Multiple Energy Discrimination working in Single Photon Processing Pixel Array
Suliman Abdalla, Bengt Oelmman, Amin Babiker