Schober R, Gerstacker W, Lampe L (2003)
Publication Type: Journal article
Publication year: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Book Volume: 7
Pages Range: 204-206
Journal Issue: 5
DOI: 10.1109/LCOMM.2003.812177
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-square 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.
APA:
Schober, R., Gerstacker, W., & Lampe, L. (2003). Comparison of MOE and Blind LMS. IEEE Communications Letters, 7(5), 204-206. https://dx.doi.org/10.1109/LCOMM.2003.812177
MLA:
Schober, Robert, Wolfgang Gerstacker, and Lutz Lampe. "Comparison of MOE and Blind LMS." IEEE Communications Letters 7.5 (2003): 204-206.
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