通过电子预处理消除光电信号干扰，显著提升实时模式识别精度
Debiased Opto-electronic Joint Transform Correlator for Enhanced Real-Time Pattern Recognition
- 电子预处理去除自强度项，减轻系统信号偏置
- 实验显示信噪比提升近两个数量级
- 适合需要高速高精度模式识别的场景
光电子联合变换相关器（OJTC）利用焦平面阵列（FPA）检测两幅输入图像的联合功率谱（JPS），将其投影至空间光调制器（SLM）进行光学傅里叶变换。JPS由两个自强度项和两个共轭项组成，仅后者产生交叉相关结果。然而自强度项通常远强于共轭项，导致信号偏置，占据大部分FPA与SLM的可用位深。本文提出并验证了一种去偏移的OJTC（DOJTC），通过电子预处理在送入SLM前移除自强度项，从而显著提升交叉相关质量。模拟与实验证明，在特定条件下，DOJTC可使信噪比相比传统OJTC提高近两个数量级。
原文摘要 · Abstract (English)
Opto-electronic joint transform correlators (OJTCs) use a focal plane array (FPA) to detect the joint power spectrum (JPS) of two input images, projecting it onto a spatial light modulator (SLM) to be optically Fourier transformed. The JPS is composed of two self-intensities and two conjugate-products, where only the latter produce the cross-correlation. However, the self-intensity terms are typically much stronger than the conjugate-products, producing a bias that consumes most of the available bit-depth on the FPA and SLM. Here we propose and demonstrate, through simulation and experiment, a debiased OJTC (DOJTC) that electronically pre-processes the JPS to remove the self-intensity terms before sending it to the SLM, thereby enhancing the quality of the cross-correlation result. We show that under some conditions the DOJTC yields a nearly two orders of magnitude improvement in the signal-to-noise ratio compared to an OJTC.
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