Title :
Adaptive minimum-BER linear multiuser detection
Author :
Chen, S. ; Samingan, A.K. ; Mulgrew, B. ; Hanzo, L.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Abstract :
An adaptive minimum bit error rate (MBER) linear multiuser detector (MUD) is proposed for DS-CDMA systems. Based on the approach of kernel density estimation for approximating the bit error rate (BER) from training data, a least mean squares (LMS) style adaptive algorithm is developed for training linear MUDs. Computer simulation results show that this adaptive MBER linear MUD outperforms two existing LMS-style adaptive MBER algorithms
Keywords :
adaptive signal detection; code division multiple access; error statistics; estimation theory; least mean squares methods; multiuser channels; spread spectrum communication; DS-CDMA; LMS algorithm; adaptive signal detection; approximation; kernel density estimation; least mean squares algorithm; minimum bit error rate; minimum-BER linear detection; multiuser detection; training data; Bit error rate; Computer science; Detectors; Equalizers; Error probability; Kernel; Least squares approximation; Multiaccess communication; Multiuser detection; Niobium;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940447
