@article {Schober2003Comparison-of-M,
title = {Comparison of MOE and blind LMS},
journal = {Communications Letters, IEEE},
volume = {7},
number = {5},
year = {2003},
month = {may.},
pages = {204 - 206},
abstract = {In this letter, we provide a rigorous analytical comparison of two blind adaptive algorithms for adjustment of the minimum mean-squared error (MMSE) filter for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA). In particular, we compare the popular minimum-output-energy (MOE) algorithm and the blind least-mean-square algorithm (BLMS) in terms of complexity, transient behavior, convergence, stability, and steady-state performance. We show analytically that the MOE algorithm enjoys a faster speed of convergence and has a superior steady-state performance, while the BLMS algorithm is computationally less complex.},
keywords = {blind adaptive algorithms, blind least-mean-square algorithm, blind LMS, BLMS, code division multiple access, complexity, convergence, digital filters, direct-sequence code-division multiple access, DS-CDMA, interference suppression, least mean squares methods, MAI suppression, minimum mean-squared error filter, minimum-output-energy algorithm, MMSE filter, MOE, multiple access interference, spread spectrum communication, stability, steady-state performance, transient behavior},
issn = {1089-7798},
doi = {10.1109/LCOMM.2003.812177},
url = {http://dx.doi.org/10.1109/LCOMM.2003.812177},
author = {Schober, R. and Gerstacker, W.H. and Lampe, L.}
}