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Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
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Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
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Implementation of a Reference Interferometer for Nanodetection
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Optimized weight spectrum method for interference signal separation in FSO communication.

Zhengguang Duan1,2, Shengzhi Qiang3, Haonian Zhao3

  • 1School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China. duan2071@163.com.

Scientific Reports
|April 27, 2026
PubMed
Summary
This summary is machine-generated.

Free Space Optical (FSO) communication noise is reduced using optimized weight spectra. This method significantly lowers the bit error rate (BER), improving voice signal reliability and anti-interference capabilities in FSO systems.

Keywords:
Convex optimizationFSONoise removalOptimized weights spectrum

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Area of Science:

  • Optical Communications
  • Signal Processing

Background:

  • Free Space Optical (FSO) communication offers advantages over radio frequency (RF) technology, including interference resistance and confidentiality.
  • Voice signal processing in FSO is limited by confined frequency spectra, necessitating noise reduction techniques.

Purpose of the Study:

  • To enhance noise resistance and reliability of voice signals in Free Space Optical communication.
  • To develop and evaluate a novel noise removal method based on optimized weight spectra.

Main Methods:

  • Signals were transformed to the frequency domain using Fourier transform.
  • Noise was identified and removed using an optimized weighting spectrum.
  • Signals were reconstructed via inverse Fourier transform and bit error rate (BER) was analyzed.

Main Results:

  • The optimized weighted spectrum method achieved a significantly lower BER (< 9.31 ‰) in outdoor FSO tests (80 m).
  • Compared to direct frequency component retention, the developed algorithm notably reduced BER and improved noise reduction and anti-interference capabilities.
  • Simulations analyzed BER under various signal-to-noise ratios, validating the algorithm's performance.

Conclusions:

  • The optimized weight spectra method significantly enhances noise reduction and anti-interference in FSO voice communication.
  • New modulation techniques, combined with the noise reduction algorithm, improve the reliability and environmental adaptability of FSO systems.
  • The study demonstrates the potential applicability of the developed method for robust FSO communication.