Print Email Facebook Twitter Low-Complexity Equalization of Orthogonal Signal-Division Multiplexing in Doubly-Selective Channels Title Low-Complexity Equalization of Orthogonal Signal-Division Multiplexing in Doubly-Selective Channels Author Han, J. (Northwestern Polytechnical University) Zhang, Lingling (Northwestern Polytechnical University) Zhang, Qunfei (Northwestern Polytechnical University) Leus, G.J.T. (TU Delft Signal Processing Systems) Date 2019 Abstract Orthogonal signal-division multiplexing (OSDM) is a generalized modulation scheme to bridge the gap between orthogonal frequency-division multiplexing (OFDM) and single-carrier frequency-domain equalization. It allows significantly more flexibility in system design; however, over doubly-selective channels, it suffers from a special signal distortion structure, namely inter-vector interference, which is analogous to inter-carrier interference in conventional OFDM. To analyze its effect, in this paper, the complex exponential basis expansion model (CE-BEM) is used to approximate the doubly-selective channel. We show that the composite channel matrix of OSDM systems is cyclically block banded in this case, and the blocks in its main band can be further diagonalized. By exploiting this unique matrix structure, low-complexity block and serial OSDM equalization algorithms are then proposed. These two equalization algorithms are based on block LDLH factorization and block iterative matrix inversion, respectively, both of which are implemented in a transformed domain to avoid direct inversion of large matrices. In addition, a CE-BEM channel estimation method is designed for OSDM systems, which uses frequency-shifted Chu sequences as pilots to ease the computation. Numerical simulations are finally provided to justify the validity of our channel equalization and estimation algorithms. Subject BEMchannel equalizationchannel estimationdoubly-selective channelsOSDMunderwater acoustic communications To reference this document use: http://resolver.tudelft.nl/uuid:03b39a22-b52f-432a-a46c-636101bbc39c DOI https://doi.org/10.1109/TSP.2018.2887191 Embargo date 2019-08-15 ISSN 1053-587X Source IEEE Transactions on Signal Processing, 67 (4), 915-929 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2019 J. Han, Lingling Zhang, Qunfei Zhang, G.J.T. Leus Files PDF Low_Complexity_Equalizati ... annels.pdf 1.83 MB Close viewer /islandora/object/uuid:03b39a22-b52f-432a-a46c-636101bbc39c/datastream/OBJ/view