An in-pixel equalizer with kTC noise cancellation and FPN reduction for time-of-flight CMOS image sensor

Zhengyuan Huang, Chin-Fong Chiu, C. Hsieh
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Abstract

Conventional TOF depth image sensors have suffered from the reset kBTC noise of required accumulation readout of multiple-phase signal without feasible correlated double sampling (CDS) operation. This paper presents a new TOF pixel circuit with kBTC reset noise cancellation by proposed equalized reset (ER) operation. Accompanied with the differential operation of phase modulation readout for depth calculation, ER pixel effective cancel out the reset noise and reduce fixed pattern noise as well. For background suppression, sub-integrating (SI) operation is also proposed to extend the dynamic range for various applications. A prototype chip with 64×128 pixel array and 3.3V operation has been designed and fabricated in 0.13μm CMOS image sensor (CIS) technology. The pixel pitch is 10×10 um2 with a fill factor of 24.9%; and the chip size is 2.5mm×2.2mm. The measurement result shows 67% reduction of pixel fixed-pattern-noise (FPN), 300uV cancellation of kTC noise, and 23.1dB SNR improvement compared to the counterpart without ER and SI operation.
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用于飞行时间CMOS图像传感器的kTC噪声消除和FPN降低的像素内均衡器
传统的TOF深度图像传感器在没有可行的相关双采样(CDS)操作的情况下,存在多相信号累积读出所需的复位kBTC噪声。本文提出了一种新的TOF像素电路,利用所提出的均衡复位(ER)运算消除kBTC复位噪声。伴随着调相读出的差分运算进行深度计算,ER像元有效地抵消了复位噪声,降低了固定模式噪声。对于背景抑制,还提出了子积分(SI)操作,以扩大动态范围,适用于各种应用。采用0.13μm CMOS图像传感器(CIS)技术,设计并制作了具有64×128像素阵列和3.3V工作电压的原型芯片。像素间距为10×10 um2,填充系数为24.9%;芯片尺寸为2.5mm×2.2mm。测量结果表明,与没有ER和SI操作相比,像素固定模式噪声(FPN)降低67%,kTC噪声消除300uV,信噪比提高23.1dB。
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