Opt Lett. 2021 Aug 15;46(16):3825-3828. doi: 10.1364/OL.433740.
We present an embedded real-time 1D position tracking device at a nanometer precision. The embedded algorithm extracts the most appropriate region of the signal without manual intervention and estimates the position based on the phase shift from the signal's first Fourier harmonic. Using simulated datasets, we demonstrate that the proposed approach can achieve a similar precision to the state-of-the-art maximum likelihood fitting-based method while executing over four orders of magnitude faster. We further implemented this algorithm on a low-power microprocessor and developed a simple, compact, and low-cost embedded position tracking device. We demonstrate nanometer tracking precision in real-time drift tracking experiments.
我们提出了一种具有纳米精度的嵌入式实时一维位置跟踪设备。嵌入式算法无需人工干预即可提取信号中最合适的区域，并根据信号的第一傅里叶谐波的相移来估计位置。使用模拟数据集，我们证明了所提出的方法可以达到与最先进的最大似然拟合方法相似的精度，而执行速度快四个数量级以上。我们进一步在低功耗微处理器上实现了该算法，并开发了一种简单、紧凑且低成本的嵌入式位置跟踪设备。我们在实时漂移跟踪实验中演示了纳米跟踪精度。
