The performance evaluation of stop-and-go dual-mode algorithm for blind equalization

Author

Song, Jai-Chul

Author_Institution

Dept. of Inf. & Commun. Eng., Samchok Nat. Univ., South Korea

Volume

1

fYear

1997

fDate

9-12 Sep 1997

Firstpage

336

Abstract

In this paper, a new stop-and-go dual-mode blind algorithm for QAM signal set is proposed and its performance evaluated. The concept of this algorithm is based on the dual-mode algorithm, the Godard algorithm and the stop-and-go algorithm. Because the proposed algorithm is based on the Godard algorithm, the operation of this algorithm is independent of the carrier offset and thus can be used even when the carrier offset is unknown. In order to evaluate the performance of this algorithm, computer simulations are performed for the 32-QAM signal constellations. From the simulation results, we can verify that proposed algorithm converges very fast compare to conventional dual-mode algorithm

Keywords

adaptive equalisers; adaptive filters; convergence of numerical methods; quadrature amplitude modulation; 32-QAM signal constellation; Godard algorithm; QAM signal set; blind equalization; carrier offset; computer simulations; convergence; performance evaluation; stop-and-go dual-mode algorithm; Blind equalizers; Computational modeling; Computer simulation; Constellation diagram; Convergence; Error correction; Performance evaluation; Quadrature amplitude modulation; Steady-state; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.647115

Filename

647115