The quadrant detector (QD), has developed into a core detector in the free space optical communication system. The light power received by the detector surface will be very weak after long distance transmission of laser, it brings great challenges to the high precision spot position detection of the detector. Therefore, this letter proposes a method to improve the spot position detection accuracy of the QD through artificial neural network. The neural network can solve the impact of multiple different factors on the detection accuracy of the detector at one time, which can save a lot of time and cost. Moreover, the test results of the detection accuracy of the network show that the neural network has significantly improved the detection accuracy of the spot position of the QD.

中文翻译：

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基于神经网络提高象限检测器检测精度的方法

象限探测器（QD），已发展成为自由空间光通信系统中的核心探测器。激光远距离传输后，探测器表面接收到的光功率会非常微弱，这给探测器的高精度光斑位置检测带来了很大的挑战。因此，本文提出了一种通过人工神经网络提高量子点光斑位置检测精度的方法。神经网络可以一次性解决多种不同因素对检测器检测精度的影响，可以节省大量的时间和成本。而且，网络检测精度的测试结果表明，神经网络显着提高了量子点光斑位置的检测精度。