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Bandpass Sampling

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....

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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

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Folded beam path architecture for highly efficient filter-based spectral sensors.

Aliaksei Kobylinskiy, Lukas Werner, Matthias Kraus

|January 6, 2023

Summary

This summary is machine-generated.

This study presents a novel method to boost filter-based spectral sensor efficiency by reusing reflected light. This technique significantly enhances detection capabilities without extra optics, achieving up to 100x improvement.

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Area of Science:

Optical Engineering
Spectroscopy
Sensor Technology

Background:

Filter-based spectral sensors often face limitations in detection efficiency.
Reducing system losses is crucial for improving sensor performance.
Existing methods may require complex optical components for spectral preselection.

Purpose of the Study:

To demonstrate a method for significantly enhancing detection efficiency in filter-based spectral sensors.
To reduce overall system losses by utilizing reflected light consecutively.
To present a proof-of-concept without additional dichroic optics.

Main Methods:

Developed two compact optical modules for proof-of-concept demonstration.
Module 1 utilizes 10 individual filters (520-800 nm).
Module 2 employs a linear variable filter (LVF) for continuous spectrum acquisition (450-825 nm).

Main Results:

Demonstrated a method to enhance spectral sensor detection efficiency.
Achieved an efficiency increase factor of up to approximately 100.
Showcased a significant improvement compared to directly illuminating the entire LVF.

Conclusions:

The proposed method effectively enhances spectral sensor detection efficiency.
Reusing reflected light from filters consecutively minimizes system losses.
This approach offers a simpler, more efficient alternative to conventional spectral preselection techniques.