| 分布式红外系统协同探测距离模型 |
| 投稿时间：2023-11-05 修订日期：2023-11-30 点此下载全文 |
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| 中文摘要:利用分布式多红外传感器协同探测同一目标后，多传感器目标图像可进行像素级融合提升信噪比，进而提高系统的探测能力。本文从单红外传感器探测距离出发，阐述了分布式多红外系统协同探测的作用距离评估模型。推导了包含积分时间的噪声等效温差（NETD）公式，用NETD表达了小哈德逊探测距离方程。采用多传感器图像融合的方式提升图像信噪比，等效于延长积分时间、抑制噪声提高NETD；结合协同探测的虚警概率及探测概率关系公式，为多红外传感器探测距离方程中的信噪比（SNR）设置提供参考依据。分布式多红外系统探测距离评估模型综合考虑了NETD和SNR两个维度因素，理论计算表明，多传感器协同探测可以有效提升系统的探测距离，为分布式红外系统的综合论证提供了重要的理论支撑。 |
| 中文关键词:分布式红外 协同探测 探测距离 NETD SNR |
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| Collaborative Detection Distance Model for Distributed Infrared Systems |
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| Abstract:With the use of distributed multi-infrared sensors to detect the same target, the multi-sensor target images can be fused at the pixel level to enhance the signal-to-noise ratio, thus improving the detection capability of the system. Based on the detection model of single infrared sensor, the detection model of multi-infrared cooperation sensors is established in this paper. The noise equivalent temperature difference(NETD) with the integration time is derived, and the Small Hudson Detection Distance Equation is expressed in terms of NETD. The method of multi-sensor image fusion is adopted to improve the image signal-to-noise ratio, which is equivalent to prolonging the integration time, suppressing noise and improving NETD; Combining the false alarm probability and the detection probability relationship equation of cooperative detection , it provides reference for setting the SNR in the multi-infrared sensor detection distance equation. The multi-infrared system detection distance evaluation model takes into account both NETD and SNR dimensions. Theoretical calculations show that multi-sensor cooperative detection can effectively improve the detection distance, which provides important theoretical support for the comprehensive demonstration of distributed infrared systems. |
| keywords:distributed infrared cooperative detection detection distance NETD SNR |
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