Browse > Article

Capacitive Parameter Estimation of Passive Telemetry RF Sensor System Using RLS Algorithm  

Kim, Kyung-Yup (동아대 공대 전기공학과)
Lee, John-Tark (동아대 공대 전기공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.5, 2008 , pp. 858-865 More about this Journal
Abstract
In this paper, Capacitive Telemetry RF Sensor System using Recursive Least Square (RLS) algorithm was proposed. General Telemetry RF Sensor System means that it should be "wireless", "implantable" and "batterless". Conventional Telemetry RF Sensor System adopts Integrated Circuit type, but there are many defects like complexity of structure and the limitation of large power consumption in some cases. In order to overcome these disadvantages, Telemetry RF Sensor System based on inductive coupling principle was proposed in this paper. Proposed Telemetry RF Sensor System is very simple because it consists of R, L and C and measures the changes of environment like pressure and humidity in the type of capacitive value. This system adopted RLS algorithm for estimation of this capacitive parameter. For the purpose of applying RLS algorithm, proposed system was mathematically modelled with phasor method and was quasi-linearized. As two parameters such as phase and amplitude of output voltage for estimation were needed, Phase Difference Detector and Amplitude Detector were proposed respectively which were implemented using TMS320C2812 made by Texas Instrument. Finally, It is verified that the capacitance of proposed telemetry RF Sensor System using RLS algorithm can be estimated efficiently under noisy environment.
Keywords
Recursive Least Square Algorithm; Telemetry RF Sensor; Inductive Coupling; TMS320C2812; Phasor Method;
Citations & Related Records

Times Cited By SCOPUS : 1
연도 인용수 순위
1 O.Akar, T.Akin, K.Najafi, "A Wireless batch sealed absolute Capacitive Pressure Sensor",Sensor and Actuators, A 95 pp29-38, 2001   DOI   ScienceOn
2 http://www.microstrain.com/applications.aspx
3 T.Varpula, and O.Jaakkola, "Low Cost Wireless RF Sensors", Automation Technology Review, pp.12-17, 2001
4 T.Suzuki, "Performance of Polyimide-Based Humidity Sensor", Microelectronic Engineering Research Conference, 2001
5 American National Standards Institute, Safety Levelof Electromagnetic Radiation with respect to Personnel, ANSI C95.1-1974, IEEE, 1974
6 천재영, 조평동, "실리콘기반 압력센서기술동향", ITFIND 주간기술동향, 1225권호, 2005
7 조재신, "RFID 지식재산권 동향과 대응방안", 특허청, 2005
8 J.R.Jang, C.Sun, E.Mizuani, Neuro-Fuzzy and Soft Computing, Prentice-Hall International, Inc. pp.95-117, 1997
9 T.J.Hapster, B.Stark, K.Najafi, "A Passive Wireless Integrated Humidity Sensor", The 14th IEEE International Conference on MEMS, pp.553-557,2001
10 HUMIREL, HS1100/HS1101 Technical Data, HPC001 Rev.7 June 2002