
Viacheslav OliinykKhAI - Aerospace university · Information-Communication Technologies (earlier Transmitters, Receivers and Signal Processing)
Viacheslav Oliinyk
PhD Student of Telecommunications
About
18
Publications
757
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44
Citations
Citations since 2017
Introduction
I am currently working at the Information-Communication Technologies, KhAI - Aerospace university. The most recent publication is 'Time delay estimation for noise-like signals embedded in non-Gaussian noise using adaptive robust DFT'.
At the moment continuing research digital filters.
Working as computer vision engineer.
Publications
Publications (18)
A task of time delay estimation for interferometric antennas for wideband signals embedded in Gaussian noise is classical. However, in practice, there are several factors that make its solving problematic including the non-Gaussian nature of the additive noise, low signal-to-noise ratio, limited time of signal registration, source motion, restricti...
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 i...
In this paper, a task of time delay estimation using two sensors receiving a noise-like wideband signal corrupted by non-Gaussian noise is considered. It is challenging task since an elementary interval of signal/noise mixture observation is limited interval and, due to this, time delay estimates obtained in traditional way of cross-correlation dat...
In this paper, a task of time delay estimation using two sensors receiving a noise-like wideband signal corrupted by non-Gaussian noise is considered. It is challenging task since an elementary interval of signal/noise mixture observation is limited interval and, due to this, time delay estimates obtained in traditional way of cross-correlation dat...
Time delay estimation (TDE) for signals arriving at interferometric or array antennas is an operation widely used for different applications. There are efficient solutions for fixed (not moving) sources of irradiated or reflected signals under the condition of high input signal-to-noise ratio (SNR), the appropriate interval of signal reception and...
Проаналізовано особливості умов роботи методів і засобів оцінки взаємної затримки і кутового поло-ження джерела випадкового широкосмугового сигналу при його прийомі двома просторово-рознесеними датчиками. Особливу увагу приділено моделюванню можливих негаусових завад і аналізу їх впливу на результати оцінки. Передбачається, що цифрова обробка прийн...
A new robust method for time delay estimation for random wideband signal embedded in non-Gaussian noise is proposed. This method is based on estimating robust similarity measure between signals registered by two receivers and is very fast.
Noise or estimation errors are present in any registered signal (sequence of measurements). Due to this, it is often needed to filter signals. To remove noise efficiently, it is desired to know noise variance a priori or to pre-estimate it for the entire recorded signal (if noise is stationary) or signal fragments (if noise variance can change in t...
Visual quality of an image is important factor at all stages of its processing. Images taken by modern devices, such as, digital cameras or smartphones can be distorted by the noise. Currently various effective denoising methods are available to suppress noise of different types. A purpose of applying these techniques is to improve image visual qua...
A task of time delay estimation for two sensors that receive a noise-like wideband signal embedded in non-Gaussian environment is studied. One peculiarity of time delay estimates for conventional method of cross-correlation data processing is that they can be abnormal due to intensive noise influence and a limited interval of signal observation. Pe...
A task of time delay estimation using two or more sensors that receive and process noise-like wideband signals embedded in spatially uncorrelated noise can be treated as classical. A problem arises if environment noise is non-Gaussian and has heavy tails. Then, due to several factors, probability of appearing abnormal elementary time delay estimate...
We consider a task of time delay estimation for two sensors that receive noise-like wideband signal embedded in non-Gaussian environment. Due to a limited interval of signal observation and noise properties, time delay estimates can be abnormal for conventional method of cross-correlation data processing. To cope with non-Gaussian noise modeled as...