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研究生(外文):Hsuan-Yu Lin
論文名稱(外文):Blind Nonuniformity Correction and Faulty Sensor Detection Methods for On-Chip Spectrum Sensor Array
外文關鍵詞:impulsive noiseinput nonuniformityblind correction algorithmminiature spectrometerspectrum sensor arrayfaulty sensor
  • 被引用被引用:0
  • 點閱點閱:177
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  • 下載下載:9
  • 收藏至我的研究室書目清單書目收藏:0

Filter-array spectrum sensors have been a promising structure that can be used to realize miniature spectrometers or spectrometers on-a-chip. By using multiple spectrum sensors with different spectral responses, the spectrum of a measurement object can be characterized. However, due to the low-cost and miniature design of the input optic interfaces, the intensity of the input light shining onto the imager of the sensor array may not be uniform. In addition, the sensor outputs may contain impulsive perturbation from the CMOS imager.
The unmodeled input nonuniformity could lead to a severe distortion in the spectrum measurement. Although the input nonuniformity can be alleviated by introducing dedicated input optic interface, we are interested in tackling this issue from an algorithmic perspective because (1) dedicated optics could still render 5%-10% intensity variation, and (2) the cost of computation power in electronics is potentially much lower than the cost of optics nowadays. Accordingly, we propose an iterative blind correction algorithm to solve the input light nonuniformity issue. The algorithm is based on the assumption that variation of input light intensity shall change smoothly, and hence requires no additional information. With the proposed iterative blind correction algorithm, significant improvement on the quality of spectrum reconstruction is obtained in both simulation and experimental studies.
Impulsive perturbations often occur due to transmission errors, malfunctioning pixel elements in the camera sensors, faulty memory locations, and timing errors in analog-to-digital conversion. It should be noticed that most of the spectrum sensor applications are sensitive to sensor readout perturbation. If the impulsive perturbation exists, it reduces the system performance dramatically, so it is imperative and even indispensable to correct these faulty pixels. Based on the concept of linear block code in coding theory, this thesis proposes an approach to correct the faulty pixels.

摘 要 i
誌 謝 iii
List of Tables vi
List of Figures vii
1.1 Preface 1
1.2 Motivation 2
1.3 Organization 4
2.1 Introduction to Micro-Spectrometer 5
2.2 Spectrum Reconstruction & Potential Issues 12
2.2.1 Spectrum Reconstruction Using Adaptive Regularization 12
2.2.2 Potential Issues 14
3.1 Introduction 16
3.2 System of Interest 19
3.3 Proposed Method 25
3.4 Results 29
3.5 Conclusions 39
4.1 Introduction 40
4.2 System of Interest 42
4.3 Real-valued Error Correction Using the Concept of Linear Block Code 47
4.4 Proposed Method 49
4.5 Results 53
4.6 Conclusions 64
5.1 Conclusions 65
5.2 Future Works 66

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