DocumentCode :
3045277
Title :
Research on Position Detection of PSD Based on Light Intensity Modulation and Digital Fit
Author :
Xiaorui, He ; Yuning, Zhong ; Xuanze, Wang ; Huili, Zheng
Author_Institution :
HuBei Key Lab. of Manuf. Quality Eng., HuBei Univ. of Technol., Wuhan, China
Volume :
3
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
38
Lastpage :
42
Abstract :
Position sensitive detector (PSD) is influenced by the background light source when the weak light falls on its photo sensitive face. This paper applies the technique of sine light intensity modulation and band-pass filter which can overcome the background light to enhance the signal to noise ratio (S/N) of this position detection system greatly. The sum-intensity signal and the difference-intensity signal extracted from PSD are modulation frequency signals and the amplitude ratio and phase discrepancy are decided by the position of the light spot. Based on these characteristics, the approach of using simultaneous A/D and elliptical fitting algorithm to locate the light spot is adopted, and the related theoretical formulas are also carried out. This approach can conquer the defects of traditional signal processing methods. The experiment results show that: when the range of measured position is 9 mm, the measurement accuracy is up to 0.01 mm.
Keywords :
band-pass filters; feature extraction; optical modulation; optical signal detection; amplitude ratio; bandpass filter; difference-intensity signal extraction; elliptical fitting algorithm; modulation frequency signal; phase discrepancy; photo sensitive face; position detection system; position sensitive detector; signal processing method; signal to noise ratio; sine light intensity modulation; sum-intensity signal; Amplitude modulation; Band pass filters; Face detection; Intensity modulation; Light sources; Phase modulation; Position measurement; Position sensitive particle detectors; Signal processing algorithms; Signal to noise ratio; Band-pass filter; Ellipse fit; Light-intensity modulation; PSD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.324
Filename :
5209202
Link To Document :
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