Title :
Data-recursive algorithms for blind channel identification in oversampled communication systems
Author :
Goeckel, Dennis L. ; Hero, Alfred O. ; Stark, Wayne E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
fDate :
8/1/1998 12:00:00 AM
Abstract :
Data-recursive algorithms are presented for performing blind channel identification in oversampled communication systems. Novel on-line solutions with complexities that are only linear in the oversampling rate are considered, and mean convergence conditions are provided. Numerical results are presented for a binary phase-shift keyed (BPSK) system
Keywords :
adaptive signal processing; convergence of numerical methods; identification; phase shift keying; recursive estimation; signal sampling; statistical analysis; stochastic processes; telecommunication channels; BPSK; adaptive algorithms; binary phase-shift keyed system; blind channel identification; conjugate gradient algorithm; data-recursive algorithms; equalisation; mean convergence conditions; offline subchannel response matching; on-line solutions; oversampled communication systems; oversampling rate; second order identification; second order statistics; stochastic gradient algorithm; Adaptive signal processing; Binary phase shift keying; Convergence; Eigenvalues and eigenfunctions; Equalizers; Higher order statistics; Military computing; Signal processing algorithms; Spread spectrum communication; Underwater communication;
Journal_Title :
Signal Processing, IEEE Transactions on
