Title :
An initialization scheme for normalized generalized fast transversal filter algorithm for data transmission
Author :
Tripathi, C.B. ; Mehra, D.K.
Author_Institution :
Dept. of Electron. & Comput. Eng., Roorkee Univ., India
Abstract :
The generalized fast transversal filter (FTF) algorithm is the computationally most efficient algorithm for a general multichannel adaptive filtering problem with an unequal number of stages in different filters, such as decision feedback equalization of dispersion channels. The normalized generalized FTF algorithm is presented, with special emphasis on initialization aspects, which, if not addressed, may result in divergence of the algorithm. It is shown that the soft constrained initialization with a judicious choice of μ stabilizes the solution. The mean square error convergence characteristics for decision feedback equalization of quadrature phase shift keying (QPSK) data transmitted over a dispersive channel are obtained by computer simulation
Keywords :
adaptive filters; data communication systems; digital filters; equalisers; filtering and prediction theory; phase shift keying; QPSK; computer simulation; data transmission; decision feedback equalization; dispersion channels; initialization scheme; mean square error convergence; multichannel adaptive filtering; normalized generalized fast transversal filter algorithm; quadrature phase shift keying; soft constrained initialization; Adaptive filters; Data communication; Decision feedback equalizers; Dispersion; Filtering algorithms; Least squares methods; Mean square error methods; Quadrature phase shift keying; Resonance light scattering; Transversal filters;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.272034
