TY - GEN
T1 - A high-precision temperature measurement system based on noise cancellation
AU - Fang, Yixi
AU - Lei, Kaizhuo
AU - Zhang, Qunfei
AU - Huang, Qiang
AU - Fan, Zhibo
PY - 2013
Y1 - 2013
N2 - Weak signal detection is a major problem in the signal processing. The paper proposes a method, in which the combination of hardware compensation and the corresponding algorithm cancellation are used to overcome the noise drifts and improve the detection accuracy of the high-precision temperature measurement system. A high-precision temperature measurement system is designed, platinum resistor PT1000, used as the temperature sensor, is in series with reference resistor and driven by constant-current source, which efficiently eliminates the effects of lead resistance and self-heating. A Discrete Gaussian noise model is established based on this hardware system. After the sampling signal is amplified, the A/D conversion is taken, then the temperature drifts correction is taken through SCM software and the noise cancellation algorithm is used by the host computer, solving the problems of drifts and noise and achieving better precision and stability. The experimental results show that this method greatly improves the accuracy and stability of the temperature measurement system and the measurement error is less than 0.007°C. Moreover, the standard deviation is less than 0.005°C.
AB - Weak signal detection is a major problem in the signal processing. The paper proposes a method, in which the combination of hardware compensation and the corresponding algorithm cancellation are used to overcome the noise drifts and improve the detection accuracy of the high-precision temperature measurement system. A high-precision temperature measurement system is designed, platinum resistor PT1000, used as the temperature sensor, is in series with reference resistor and driven by constant-current source, which efficiently eliminates the effects of lead resistance and self-heating. A Discrete Gaussian noise model is established based on this hardware system. After the sampling signal is amplified, the A/D conversion is taken, then the temperature drifts correction is taken through SCM software and the noise cancellation algorithm is used by the host computer, solving the problems of drifts and noise and achieving better precision and stability. The experimental results show that this method greatly improves the accuracy and stability of the temperature measurement system and the measurement error is less than 0.007°C. Moreover, the standard deviation is less than 0.005°C.
KW - algorithm cancellation
KW - high precision
KW - platinum resistor
KW - temperature measurement
KW - weak signal detection
UR - http://www.scopus.com/inward/record.url?scp=84894301091&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2013.6718505
DO - 10.1109/TENCON.2013.6718505
M3 - 会议稿件
AN - SCOPUS:84894301091
SN - 9781479928262
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
T2 - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Y2 - 22 October 2013 through 25 October 2013
ER -