Blind adaptive asynchronous CDMA multiuser detector using prediction least mean kurtosis algorithm
Document Type
Article
Publication Date
1-1-2000
Abstract
In this paper, a new blind adaptive multiuser detector, which is termed prediction least mean kurtosis (PLMK) algorithm, is proposed for joint MAI and narrowband interference (NBI) suppression in asynchronous CDMA systems. This algorithm is based on a higher-order statistics rather than the second-order statistics used in the LMS algorithm. Unlike the regular least mean kurtosis (LMK), it takes into consideration samples earlier than those correspond to current bit. For comparison purposes, we also apply the regular LMK algorithm to the case of asynchronous CDMA systems. Simulation results show that the blind adaptive multiuser detector with PLMK algorithm provides significantly better performance than the one with regular LMK algorithm.
Identifier
0033666617 (Scopus)
Publication Title
IEEE Signal Processing Workshop on Statistical Signal and Array Processing Ssap
First Page
15
Last Page
17
Recommended Citation
Wang, Kunjie and Bar-Ness, Yeheskel, "Blind adaptive asynchronous CDMA multiuser detector using prediction least mean kurtosis algorithm" (2000). Faculty Publications. 15646.
https://digitalcommons.njit.edu/fac_pubs/15646
