Infrared photodetection generally presents some u.ndesirable features: low detector shunt resistance, large pixel dark current, high noise levels, and intense background signal. These impose challenges to design the readout integrated electronics to properly extract signal information from the detector, mainly due to the effect of low injection efficiency and the limited on-chip voltage supply. Signal sensitivity and saturation are, therefore, often compromised. This work presents the analysis of a readout integrated circuit, coined as the Bouncing Pixel, that prevents signal saturation and that is suitable for infrared electronics due to its high injection efficiency, high sensitivity of 51.65 mV/$\mu$A and high dynamic range of at least 105 dB. The simulation data presented in this work follows an application driven design flow for a CO₂ gas detection system, considering real models for the infrared light source and the photodetector, optical modeling using the HITRAN database, and reliable readout integrated circuit simulation using device models for a standard TSMC CMOS 180 nm technology. Circuit noise analysis is included. Simulations show that the detection of a CO₂ molar fraction as low as 3 ppm could be achieved, suggesting that the Bouncing Pixel is a good solution for high performance infrared readout integrated electronics, even with low chip supply voltages.

红外光电检测通常具有一些理想的功能：低检测器并联电阻，大像素暗电流，高噪声水平和强烈的背景信号。这些问题对设计读出集成电子器件以从检测器正确提取信号信息提出了挑战，这主要是由于注入效率低和片上电压供应有限的影响。因此，信号灵敏度和饱和度通常会受到影响。这项工作介绍了一种称为“弹跳像素”的读出集成电路的分析，该集成电路可防止信号饱和，并且由于其高注入效率和51.65 mV /的高灵敏度而适合于红外电子设备。$\mu$高动态范围至少为105 dB。这项工作中提供的仿真数据遵循针对CO ₂气体检测系统的应用驱动设计流程，其中考虑了红外光源和光电检测器的真实模型，使用HITRAN数据库的光学建模以及使用以下器件模型进行的可靠读出集成电路仿真：标准的TSMC CMOS 180 nm技术。包括电路噪声分析。仿真表明，可以实现低至3 ppm的CO ₂摩尔分数的检测，这表明弹跳像素是高性能红外读数集成电子设备的良好解决方案，即使在低芯片电源电压下也是如此。