- Tytuł:
- Adaptive Algorithms Versus Higher Order Cumulants for Identification and Equalization of MC-CDMA
- Autorzy:
-
Zidane, M.
Safi, S.
Sabri, M.
Boumezzough, A.
Frikel, M. - Powiązania:
- https://bibliotekanauki.pl/articles/307974.pdf
- Data publikacji:
- 2014
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
blind identification and equalization
higher order cumulants
RLS
LMS
MC-CDMA systems - Opis:
- In this paper, a comparative study between a blind algorithm, based on higher order cumulants, and adaptive algorithms, i.e. Recursive Least Squares (RLS) and Least Mean Squares (LMS) for MultiCarrier Code Division Multiple Access (MC-CDMA) systems equalization is presented. Two practical frequency-selective fading channels, called Broadband Radio Access Network (BRAN A, BRAN B) normalized for MC-CDMA systems are considered. In the part of MC-CDMA equalization, the Zero Forcing (ZF) and the Minimum Mean Square Error (MMSE) equalizer techniques were used. The simulation results in noisy environment and for different signal to noise ratio (SNR) demonstrate that the blind algorithm gives approximately the same results obtained by adaptive algorithms. However, the proposed algorithm presents the advantage to estimate the impulse response of these channels blindly except that the input excitation is non-Gaussian, with the low calculation cost, compared with the adaptive algorithms exploiting the information of input and output for the impulse response channel estimation.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2014, 3; 53-62
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł