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Circuit Blocks Design for a Current-mode CMOS Image Sensor Chip.

机译:电流模式CMOS图像传感器芯片的电路模块设计。

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摘要

This thesis presents the design and implementation of a current-mode computational CMOS image sensor that performs video image compression based on the CRVDC (conditional replenishment video data compression) algorithm. With such on-chip pre-processing, a compression ratio of 10:1 can be achieved without significant signal degradation. Our research focuses on designing the basic building blocks. As the image sensor works in the current-mode, the building blocks will be current mirrors and current comparators. Several kinds of current mirrors have been analyzed in details and an improved regulated cascode current mirror was chosen. Through simulations and prototyping, we demonstrated that this current mirror is capable of achieving a resolution of 11 bits at 200MHz. To implement the CRVDC algorithm, it was necessary to design an accurate and fast current comparator. Two novel CMOS current comparators were proposed and analyzed and the results were compared to conventional CMOS current comparators. Simulations and measurements demonstrated that the new CMOS current comparators had better performance both in terms of the propagation delay and power dissipation.;For the CMOS image sensor, a photodiode-type active pixel transducer was used to convert incident light to photocurrent. The characterization and modeling of the transducer were presented and detailed analyses on the performance was obtained from chips fabricated using the standard 0.18im CMOS process technology. Since the electrical characteristics of the active devices in the pixel sensor chip can generate large fixed pattern noise (FPN), a current-mode FPN suppression circuit was designed and adopted. Based on the test results obtained from a fabricated prototype chip, a FPN suppression rate of 0.35% was achieved. An on-chip analog to digital converter (ADC) was necessary to implement digital interface and a current-mode pipeline ADC with 8 bit resolution was proposed. Simulation results demonstrated that the ADC was monotonic and possessed an integral nonlinearity (INL) of +/-0.45 LSB and a differential nonlinearity (DNL) of +/-0.43 LSB. Our results suggested that the overall design can more than adequately meet the system specifications of the computational CMOS image sensor and potentially can be used as a front-end processing block in other image processing applications such as in motion detection and in image segmentation for a dynamic environment.
机译:本文提出了一种基于CRVDC(有条件补充视频数据压缩)算法执行视频图像压缩的电流模式计算CMOS图像传感器的设计和实现。通过这种片上预处理,可以实现10:1的压缩率,而不会明显降低信号质量。我们的研究重点是设计基本的构建基块。当图像传感器在电流模式下工作时,构建模块将是电流镜和电流比较器。已经详细分析了几种电流镜,并选择了一种改进的稳压共源共栅电流镜。通过仿真和原型制作,我们证明了该电流镜能够在200MHz时实现11位分辨率。为了实现CRVDC算法,有必要设计一个准确而快速的电流比较器。提出并分析了两种新颖的CMOS电流比较器,并将结果与​​常规CMOS电流比较器进行了比较。仿真和测量结果表明,新型CMOS电流比较器在传播延迟和功耗方面均具有更好的性能。对于CMOS图像传感器,使用了光电二极管型有源像素传感器将入射光转换为光电流。介绍了换能器的特性和建模,并使用标准的0.18im CMOS工艺技术从芯片上获得了性能的详细分析。由于像素传感器芯片中有源器件的电气特性会产生较大的固定图案噪声(FPN),因此设计并采用了电流模式FPN抑制电路。根据从制造的原型芯片获得的测试结果,FPN抑制率为0.35%。为了实现数字接口,必须使用片上模数转换器(ADC),并提出了一种8位分辨率的电流模式流水线ADC。仿真结果表明,ADC是单调的,具有+/- 0.45 LSB的积分非线性(INL)和+/- 0.43 LSB的微分非线性(DNL)。我们的结果表明,总体设计可以充分满足计算CMOS图像传感器的系统规格要求,并且有可能在其他图像处理应用(例如运动检测和动态图像分割)中用作前端处理模块。环境。

著录项

  • 作者

    Wang, Xingming.;

  • 作者单位

    University of Victoria (Canada).;

  • 授予单位 University of Victoria (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 197 p.
  • 总页数 197
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:31

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