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RISS 인기검색어
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- 저자 : 이준탁(John T. Lee) (검색결과 2 건)
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Implementation of Remote Passive RF Sensor System and Its Applications
John-T Lee(이준탁),Kyung-Y Kim(김경엽) 한국항해항만학회 2009 한국항해항만학회 학술대회논문집 Vol.2009 No.공동학술
This paper describes about the realization of a remote RF sensor system and its applications. RF Sensor System was designed and realized on DSP over the range of high frequency such as about 200[KHz]. It should be "wireless", "implantable" and "batteryless". Futhermore, the system should be consist of passive components such as R, L and C. The measurement was given using the inductive coupling principle between primary source part and secondary sensor part. This newly developed parameter estimation system can be easily applied to the Ambient Intelligent System including the ubiquitous computing and the sensitive environmental changes.
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유도결합원리를 이용한 UKF기반의 원격 RF 센서 시스템의 구현
김경엽(Kyung-Yup Kim),이오걸(O-Gul Lee),이준탁(John T. Lee) 한국지능시스템학회 2008 한국지능시스템학회 학술발표 논문집 Vol.18 No.2
In this paper, Capacitive Telemerty RF Sensor System using Unscented Kalman Filter algorithm (UKF) is proposed. General Telemerty RF Sensor System means that it should be "wireless", "implantable" and "batterless". Conventional Telemerty RF Sensor System adopts Integrated Circuit type, but there are defects like complexity of structure and limit of large power consumption in some cases. In order to overcome this kind of faults, Telemetry RF Sensor System based on inductive coupling principle was proposed in this paper. Because passive components R, L, C have stray parameter in the range of high frequency such as about 200[KHz] used in this paper, Passive Telemetry RF Sensor System considering stray parameter is derived. Proposed Telemetry RF Sensor System is very simple because it consists of R, Land C and measures the change of environment like pressure and humidity in the type of capacitive value. This system adopted UKF algorithm for estimation of this capacitive parameter included in nonlinear system like Passive Telemetry RF Sensor System. For the purpose of obtaining learning data pairs for UKF Algorithm, Phase Difference Detector and Amplitude Detector are proposed respectively which make it possible to get amplitude and phase between input and output voltage. Finally, It is verified that capacitance of proposed telemetry RF Sensor System using UKF algorithm can be estimated in noisy environment efficiently.
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