@article{4137,
  author = {Alexander Yu. Parshin},
  title = {Signal Processing under Presence of Low Frequency Noise in the Low Speed Data Channel},
  journal = {Signals and Telecommunication Journal},
  year = {2024},
  volume = {13},
  number = {2},
  doi = {https://doi.org/10.6025/stj/2024/13/2/61-66},
  url = {https://www.dline.info/stj/fulltext/v13n2/stjv13n2_3.pdf},
  abstract = {This paper explores the impact of low-frequency additive noise and interference on communication channels. It focuses on a specific channel that is used for both receiving and transmitting signals in both unmanned vehicle groups and the Internet of Things systems. To ensure the efficient operation of the receiving and transmitting devices, a low-power, narrowband signal is employed, along with a slow data transmission rate. The work discusses the use of fractal analysis to mitigate the effects of low-frequency flicker noise and introduces the fractal Brownian motion model for characterizing low-frequency flicker noise statistically. It also calculates the parameters of the communication channel under the influence of low-frequency interference. A maximum likelihood algorithm for signal detection in the presence of additive fractal jamming has been created. The findings suggest that employing fractal models can enhance signal processing efficiency in the presence of background noise, even when there are no other significant differences between the signal and noise. Recommendations are made for integrating signal processing techniques that can handle the low-frequency, fractal nature of the spectral power density.},
}