An Overview of the Adaptive Robust DFT and It’s Applications

Authors

  • Oleksii Roienko National Aerospace University, Kharkov, Ukraine.
  • Vladimir Lukin National Aerospace University, Kharkov, Ukraine.
  • Viacheslav Oliinyk National Aerospace University, Kharkov, Ukraine.
  • Igor Djurovic University of Montenegro, Podgorica, Montenegro.
  • Marco Simeunovic University of Donja Gorica, Podgorica, Montenegro.

DOI:

https://doi.org/10.9734/bpi/tier/v4/6314F

Keywords:

Robust DFT, location parameter estimation, heavy-tailed distribution, adaptation, spectral analysis, signal filtering, FM and wideband signals

Abstract

The robust discrete Fourier transform (RDFT) technique, which is utilized for robust processing of frequency-modulated (FM) and wideband signals buried in non-Gaussian heavy-tailed noise, is discussed in this study. We focus on employing adaptive and non-adaptive robust estimators to perform spectral analysis and filtering of signals distorted by impulsive distortions. Several adaptive location parameter estimators are explored, and it is demonstrated that their use is preferable to non-adaptive counterparts. This is illustrated by comparing the efficiency of adaptive and non-adaptive RDFT techniques in various noise situations. In addition, recent achievements in the field are discussed.

Published

2022-06-21

How to Cite

Oleksii Roienko, Vladimir Lukin, Viacheslav Oliinyk, Igor Djurovic, & Marco Simeunovic. (2022). An Overview of the Adaptive Robust DFT and It’s Applications. Technological Innovation in Engineering Research Vol. 4, 68–89. https://doi.org/10.9734/bpi/tier/v4/6314F

Issue

Technological Innovation in Engineering Research Vol. 4

Section

Chapters