For traditional active temperature sensors, the accuracy is reduced under strong electromagnetic conditions, and in high voltage situations, there may be dangers such as electric sparks exploding. Therefore, a fluorescence lifetime optical fiber temperature sensor capable of operating in a series of complex environments such as strong electromagnetic, high voltage, and deep sea has been developed. This paper mainly introduces the system structure and data processing algorithm of the fluorescent fiber optic temperature sensor, and completes the experimental prototype. After preliminary calibration test, accurate measurement of 20-60°C has been achieved with an accuracy of ±0.6°C, and it has good stability and repeatability. It is well suited for use in the medical field, providing a reliable, low-cost solution for temperature sensing in the medical field.
KEYWORDS: Time of flight cameras, Sensors, Binary data, Near infrared, Image restoration, Cameras, 3D-TOF imaging, Electronic imaging and signal processing, Amplitude modulation, Modeling and simulation, Active optics
Time-of-flight cameras use the flight time of light to obtain accurate depth information, but its accuracy is affected by multipath interference. In the penalty function method adopted in this study, the best initial iteration point is obtained by cross-correlation of a pseudo-random binary sequence and its displacement sequence, and a continuous and non-segmented exponential penalty (obstacle) function is constructed, which can be used for sparse decomposition of high-dimensional vectors. These two improvements make the penalty function method applicable to sparse decomposition in the multipath separation process. Moreover, under the same measurement times and operation speeds, the improved penalty function method is nearly twice as accurate as the orthogonal matching pursuit algorithm in multipath separation.
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