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We developed a fast, low-cost embedded device for nanometer-precision 1D position tracking. Its algorithm achieves high accuracy in real-time drift tracking, outperforming existing methods in speed.

Area of Science:

Instrumentation
Signal Processing
Nanotechnology

Background:

Accurate real-time position tracking is crucial for various scientific and industrial applications.
Existing methods for nanometer-precision tracking can be computationally intensive and complex.

Purpose of the Study:

To develop an embedded, real-time 1D position tracking device with nanometer precision.
To create a computationally efficient algorithm for position estimation.
To demonstrate the device's capability in real-world tracking scenarios.

Main Methods:

An embedded algorithm was developed to automatically identify signal regions.
Position estimation is performed using the phase shift of the signal's first Fourier harmonic.
The algorithm was implemented on a low-power microprocessor for a compact device.

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Main Results:

The proposed algorithm achieves nanometer precision, comparable to state-of-the-art methods.
The algorithm executes over four orders of magnitude faster than traditional methods.
Real-time drift tracking experiments confirmed the device's nanometer tracking precision.

Conclusions:

A simple, compact, and low-cost embedded device for nanometer-precision 1D position tracking has been successfully developed.
The embedded algorithm offers a significant speed advantage without compromising accuracy.
This technology has potential applications in fields requiring high-precision real-time measurements.