A blind widely linear minimum-output-energy algorithm

TitleA blind widely linear minimum-output-energy algorithm
Publication TypeConference Paper
Year of Publication2003
AuthorsSchober, R., W. H. Gerstacker, and L. Lampe
Conference NameWireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE
Pagination612 -617 vol.1
Date Publishedmar.
Keywordsblind minimum-output-energy algorithm, blind widely linear stochastic gradient algorithm, code division multiple access, computational complexity, digital filters, direct-sequence code-division multiple access, DS-CDMA, gradient methods, interference suppression, least mean squares methods, MAI suppression, minimum mean-square error, multiple access interference suppression, signal-to-interference-plus-noise ratio, spread spectrum communication, steady-state SINR, stochastic processes, unbiased widely linear MMSE filter

In this paper, a novel blind minimum-output-energy (MOE) algorithm for adjustment of the unbiased widely linear (WL) minimum mean-squared error (MMSE) filters for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA) is introduced and analyzed. We analyze the steady-state signal-to-interference-plus-noise ratio (SINR) and the convergence of the proposed blind WL stochastic gradient algorithm. Wherever possible comparisons with the linear blind MOE algorithm are made. Both analytical considerations and simulations show in good agreement the superiority of the novel WL adaptive algorithm. Nevertheless, it requires a lower computational complexity than its linear counterpart.


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