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Addressing channel noise and bit rate in a multi-channel free space optical communication system

机译:解决多信道自由空间光通信系统中的信道噪声和比特率

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In this paper, we present a method to optimize Multi-Channel Free Space Optical Communication for statically aligned transmitter-receiver pairs. Pattern recognition algorithms are employed to minimize crosstalk between pixels, reducing the need for channel redundancy. Digitization is accomplished through comparison with several look up tables which are generated during alignment. Mathematical modeling has been performed to simulate the optical misalignment. A multistage automated alignment system can be developed based on the models. Simulation of the in plane and out-of-plane translation and rotation shows that this method builds a foundation of an effective self-healing precision optical alignment system.
机译:在本文中,我们提出了一种针对静态对齐的收发器对优化多通道自由空间光通信的方法。模式识别算法用于最小化像素之间的串扰,从而减少了对通道冗余的需求。数字化是通过与对齐过程中生成的几个查找表进行比较来完成的。已经进行数学建模以模拟光学未对准。可以基于模型开发多阶段自动对准系统。平面内和平面外平移和旋转的仿真表明,该方法为有效的自愈精密光学对准系统奠定了基础。

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