Adaptive Algorithm for Error Correction from Sensor Measurement

One of the essential problems of sensor acquisition systems is the correction of measurement affected by nonsystemalic error. This paper continues the problem of error correction from [1], and is focused on a digital method used in signal processing for correction of temperature measurement from inside of dam. The temperature measurements are done in a long time by same year. The measurements from inside of dam depend by ambient temperature of environment, so the temperature evolution respects the ambient temperature variation in good condition The purpose of this article is to interpret the temperature evolution as a signal and for correction is used an adaptive filtering method The systematic error is a high frequency noise that affects the sensor measurement. The adaptive filter process two signals one is the utile signal (the sensor measurement) and the second is the reference signal (the environment temperature). This method consists in obtaining an estimate value for error and eliminates errors from sensor measurements. This method use the discreet time signal, the advantage is that this adaptive algorithm can be implemented with digital programmable circuit such as microcontroller, DSP. This algorithm can be implemented in data acquisition system, so the correction data will be done in real time.