- Tytuł:
- A Novel Kernel Algorithm for Finite Impulse Response Channel Identification
- Autorzy:
-
Fateh, Rachid
Darif, Anouar
Boumezzough, Ahmed
Safi, Said
Frikel, Miloud - Powiązania:
- https://bibliotekanauki.pl/articles/24200741.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
finite impulse response
kernel adaptive filtering
kernel recursive projection identification
nonlinear system identification - Opis:
- Over the last few years, kernel adaptive filters have gained in importance as the kernel trick started to be used in classic linear adaptive filters in order to address various regression and time-series prediction issues in nonlinear environments.In this paper, we study a recursive method for identifying finite impulse response (FIR) nonlinear systems based on binary-value observation systems. We also apply the kernel trick to the recursive projection (RP) algorithm, yielding a novel recursive algorithm based on a positive definite kernel. For purposes, our approach is compared with the recursive projection (RP) algorithm in the process of identifying the parameters of two channels, with the first of them being a frequency-selective fading channel, called a broadband radio access network (BRAN B) channel, and the other being a a theoretical frequency-selective channel, known as the Macchi channel. Monte Carlo simulation results are presented to show the performance of the proposed algorithm.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2023, 2; 84--93
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł