Title :
Orthogonalization based adaptive interference suppression for direct-sequence code-division multiple-access systems
Author_Institution :
Motorola Appl. Res. Lab., USA
fDate :
9/1/1996 12:00:00 AM
Abstract :
Rapid converging adaptive interference suppression algorithms for direct sequence code-division multiple-access (DS/CDMA) systems are presented after showing the limitations of conventional adaptive algorithms. The rapid converging algorithms are based on an orthogonal transformation preprocessing, and are adaptive implementations of the linear minimum mean square error (MMSE) receiver for interference suppression. These algorithms do not require a priori knowledge on interfering signal parameters such as spreading sequences and relative signal power levels
Keywords :
adaptive signal processing; code division multiple access; convergence; interference suppression; least mean squares methods; pseudonoise codes; radiofrequency interference; spread spectrum communication; AWGN channels; DS/CDMA systems; LMS algorithm; RLS algorithm; adaptive MMSE receiver; adaptive interference suppression algorithms; direct-sequence code-division multiple-access; interfering signal parameters; linear minimum mean square error; orthogonal transformation preprocessing; rapid converging algorithms; Adaptive algorithm; Adaptive signal processing; Convergence; Eigenvalues and eigenfunctions; Interference suppression; Least squares approximation; Mean square error methods; Multiaccess communication; Multiple access interference; Signal processing algorithms;
Journal_Title :
Communications, IEEE Transactions on
