Detection Ability Mathematical Model and Performance Evaluation Method in Visible-Light Photoelectric Detection System
| Autor: | Sangsang Chen, Hanshan Li |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Computer science Aperture Acoustics media_common.quotation_subject Detector 020206 networking & telecommunications 02 engineering and technology Photoelectric effect Stability (probability) Signal Fuzzy logic Reflectivity 020901 industrial engineering & automation Optical imaging Amplitude Signal-to-noise ratio 0202 electrical engineering electronic engineering information engineering Contrast (vision) Electrical and Electronic Engineering Instrumentation Visible spectrum media_common |
| Zdroj: | IEEE Sensors Journal. 17:1649-1655 |
| ISSN: | 2379-9153 1530-437X |
| Popis: | To enhance the stability of detection ability and the suitability of performance evaluation method in the visible-light photoelectric detection system, this paper sets up a new illumination contrast calculation model based on the optical reflection characteristics of dynamic target with high velocity in remote distance; by the analysis of noise-signal ratio (SNR), establishes a new contrast noise signal ratio (CSNR) mathematical model, derives scientifically the expression of detector output signal amplitude, which is direct proportion to detection ability; proposes the reasonably performance evaluation method of visible-light photoelectric detection system by utilizing fuzzy comprehensive evaluation method and analytic hierarchy process. Through the calculation and testing analysis, the change of output signal amplitude was discussed under different key factors, including background illumination, detection distance, relative aperture, and reflectance, the results show that those factors have important influence on the detection ability; with the increase of target reflectance, the illumination contrast has obvious enhancement; the SNR also increases with the increment of the relative aperture in a certain detection distance. |
| Databáze: | OpenAIRE |
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