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Flexible Frequency-Band Reallocation: Complex Versus Real
Linköping University, Department of Electrical Engineering, Electronics System. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Electronics System. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Electronics System. Linköping University, The Institute of Technology.
2009 (English)In: Circuits, systems, and signal processing, ISSN 0278-081X, E-ISSN 1531-5878, Vol. 28, no 3, 409-431 p.Article in journal (Refereed) Published
Abstract [en]

This paper discusses a new approach for implementing flexible frequency-band reallocation (FFBR) networks for bentpipe satellite payloads which are based on variable oversampled complex-modulated filter banks (FBs). We consider two alternatives to process real signals using real input/output and complex input/output FFBR networks (or simply real and complex FFBR networks, respectively). It is shown that the real case has a lower overall number of processing units, i.e., adders and multipliers, compared to its complex counterpart. In addition, the real system eliminates the need for two Hilbert transformers, further reducing the arithmetic complexity. An analysis of the computational workload shows that the real case has a smaller rate of increase in the arithmetic complexity with respect to the prototype filter order and number of FB channels. This makes the real case suitable for systems with a large number of users. Furthermore, in the complex case, a high efficiency in FBR comes at the expense of high-order Hilbert transformers; thus, trade-offs are necessary. Finally, the performance of the two alternatives based on the error vector magnitude (EVM) for a 16-quadrature amplitude modulation (QAM) signal is presented.

Place, publisher, year, edition, pages
2009. Vol. 28, no 3, 409-431 p.
Keyword [en]
Flexible frequency-band reallocation, Multi-input multi-output, Discrete Fourier transform, Hilbert vector magnitudetransformer, Arithmetic complexity, Error vector magnitude
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-50669DOI: 10.1007/s00034-008-9090-3OAI: oai:DiVA.org:liu-50669DiVA: diva2:271877
Available from: 2009-10-13 Created: 2009-10-13 Last updated: 2017-12-12

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Eghbali, AmirJohansson, HåkanLöwenborg, Per

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