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| Title | Comparison of MOE and blind LMS |
| Publication Type | Journal Article |
| Year of Publication | 2003 |
| Authors | Schober, R., W. H. Gerstacker, and L. Lampe |
| Journal | Communications Letters, IEEE |
| Volume | 7 |
| Pagination | 204 - 206 |
| Date Published | may. |
| ISSN | 1089-7798 |
| 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 |
| 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. |
| URL | http://dx.doi.org/10.1109/LCOMM.2003.812177 |
| DOI | 10.1109/LCOMM.2003.812177 |