Title :
The local minima convergence state detector for QPSK equalizer
Author :
Gim, Jongman ; Choi, Seoungduk ; Eun, Changsoo
Author_Institution :
R&D Dept., Pinetelecom, Daejeon, South Korea
Abstract :
A LMS (least mean square) algorithm for the channel estimation is possible to converge on a local minimum point. In this paper, we proposed a local minimum point convergence state (LMPC) detector using a distribution property of the phase difference of the LMPC state. We present the missing and false alarm probability of the detector through computer simulation and prove that it is efficient to detect the LMPC state through hardware implementation.
Keywords :
adaptive equalisers; channel estimation; convergence of numerical methods; least mean squares methods; probability; quadrature phase shift keying; signal detection; LMPC state; QPSK equalizer; channel estimation; computer simulation; distribution property; false alarm probability; hardware implementation; least mean square algorithm; local minimum point convergence state detector; GMPC; LMPC; LMS;
Conference_Titel :
TENCON 2010 - 2010 IEEE Region 10 Conference
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-6889-8
DOI :
10.1109/TENCON.2010.5686063
