Analysis of RSS improved RFID estimation

Alotaibi, Majid, Bialkowski, Konstanty S. and Postula, Adam (2010). Analysis of RSS improved RFID estimation. In: , 4th International Conference on Signal Processing and Communication Systems. 4th International Conference on Signal Processing and Communication Systems (ICSPCS), 2010, Gold Coast, Qld, Australia, (1-7). 13-15 December, 2010.

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Author Alotaibi, Majid
Bialkowski, Konstanty S.
Postula, Adam
Title of paper Analysis of RSS improved RFID estimation
Conference name 4th International Conference on Signal Processing and Communication Systems (ICSPCS), 2010
Conference location Gold Coast, Qld, Australia
Conference dates 13-15 December, 2010
Proceedings title 4th International Conference on Signal Processing and Communication Systems
Journal name 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings
Place of Publication Piscatawa, NJ, U.S.A.
Publisher IEEE
Publication Year 2010
Sub-type Fully published paper
DOI 10.1109/ICSPCS.2010.5709653
ISBN 9781424479078
Start page 1
End page 7
Total pages 7
Collection year 2011
Language eng
Abstract/Summary Signal strength (SS) based tag estimation significantly improves the accuracy and speed of RFID tag interrogation. In [1], SS estimation was applied to a Manchester based RFID system and a formula for the lower bound on number of tags was derived. This paper analytically extends this analysis to a comprehensive list of encoding formats including all those used in commercially available tags. The developed formulas are shown to be based on properties of the line encoding. Our analysis shows that Manchester is the most appropriate encoding scheme for the signal strength estimation method.
Keyword Tag Estimation
RFID
Data Encoding
Signal Strength
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Poster Session 3 – Wireless Systems

 
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Created: Mon, 07 Mar 2011, 14:40:04 EST by Mr Konstanty Bialkowski on behalf of School of Information Technol and Elec Engineering