Title :
On super-exponential algorithm, constant modulus algorithm and inverse filter criteria for blind equalization
Author :
Yung Chi, Chong ; Yung Chen, Ching ; Way Li, Bin
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
The super-exponential algorithm (SEA), constant modulus algorithm (CMA) and inverse filter criteria (IFC) using higher-order statistics have been widely used for blind equalization. Chi et al., (2000) have reported that SEA and IFC are equivalent under certain conditions. We further prove that SEA, IFC and CMA are equivalent under certain conditions, and their convergence speed and computational load can be significantly improved as the given data are preprocessed by the well-known lattice linear prediction error (LPE) filter for both off-line processing and adaptive processing. Some simulation results are presented to support the analytic results and the proposed off-line and adaptive implementations
Keywords :
adaptive equalisers; blind equalisers; convergence of numerical methods; filtering theory; higher order statistics; lattice filters; prediction theory; CMA; IFC; LPE filter; SEA; adaptive processing; blind equalization; computational load; constant modulus algorithm; convergence speed; data preprocessing; higher-order statistics; inverse filter criteria; lattice linear prediction error; off-line processing; simulation; super-exponential algorithm; Adaptive filters; Blind equalizers; Finite impulse response filter; Higher order statistics; Intersymbol interference; Lattices; Nonlinear filters; Signal processing; Signal processing algorithms; Speech synthesis;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870114
