Title :
Adaptive channel surfing re-initialization of the constant modulus algorithm
Author :
Evans, Scott ; Tong, Lang
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
Abstract :
An adaptive re-initialization algorithm for the constant modulus algorithm (CMA) is proposed which relies on the connection between the constant modulus and the Wiener equalizers. The proposed algorithm determines adaptively if the CMA will benefit through re-initialization, and if so, calculates the new equalizer coefficients leading to the global minimum. Using a realistic microwave channel, simulation shows that the proposed method offers a 7 dB improvement over the traditional center-spike initialization of the CMA.
Keywords :
Gaussian noise; adaptive equalisers; microwave links; time-varying channels; white noise; AWGN; Wiener equalizers; adaptive channel surfing re-initialization; adaptive re-initialization algorithm; center-spike initialization; constant modulus algorithm; equalizer coefficients; global minimum; microwave channel; simulation; time varying channel; Baseband; Convergence; Costs; Covariance matrix; Delay estimation; Equalizers; Microwave theory and techniques; Modeling; Surface treatment; Systems engineering and theory;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680558