一个CMOS兼容的纳米线阵列自然光光探测器与芯片上的温度补偿使用PSO-BP神经网络
Mingbin Liu1, Xin Chen1, Jiaye Zeng1
1School of Electronic and Information Engineering, China West Normal University, Nanchong 637002, China.
Micromachines
|January 28, 2026
概括
这项研究引入了一种具有集成温度传感和智能补偿系统的纳米线光探测器. 它通过使用新型混合算法减轻热干扰来增强自然光检测稳定性.
科学领域:
- 光电学是指光电子产品.
- 纳米技术 纳米技术
- 人工智能的人工智能
背景情况:
- 纳米线 (SiNW) 光探测器为自然光检测提供高灵敏度.
- 热干扰显著降低SiNW光探测器的性能.
研究的目的:
- 开发一个CMOS兼容的SiNW阵列光探测器,具有集成的温度传感和智能补偿.
- 为了克服SiNW光探测器中热干扰引起的性能下降.
主要方法:
- 双阵列SiNW光探测器和芯片上的温度传感器的单体集成.
- 开发一种混合温度补偿算法,将粒子群优化 (PSO) 和反向传播 (BP) 神经网络结合起来.
- 使用PSO优化BP网络参数,以提高准确性和趋同性.
主要成果:
- 与传统的BP网络相比,PSO-BP模型显示出更高的补偿准确性和更快的融合.
- 优化的模型在STM32微控制器上成功实现了实时补偿.
- 综合系统在广泛的温度范围内显著提高了光探测器的稳定性和可靠性.
结论:
- 拟议的智能补偿系统有效地减轻SiNW光探测器中的热干扰.
- 这项工作为开发高度稳定和集成的光学传感系统提供了可行的策略.
- 嵌入式实现验证了光学传感器实时,高精度温度补偿的可行性.
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