Abstract
Channelization is the task of channel selection in a communications receiver. Usually it comprises down-conversion of the signal to base-band and channel filtering. To be able to influence the characteristics of channelization by means of software it is advantageous to realize as much as possible of the channelization functionality with digital signal processing. In base-stations several channels have to be received in parallel. An obvious approach to meet this task is to have a separate channelizer for each channel. This so-called per-channel approach does not look very elegant. An alternative is to employ filter banks. This promises to save much effort since the necessary filter is implemented only once for all channels. Both approaches are introduced and discussed in detail. Finally, they are compared with respect to their multiplication rate. The result of this comparison is somewhat surprising.
Résumé
La canalisation désigne la tâche du récepteur de sélectionner un canal désiré. En général, cette tâche est réalisée par un mixage du signal en bande de base et un filtrage. Afin qu ’on puisse ajuster les caractéristiques de la canalisation, il est avantageux de réaliser cette fonctionnalité autant que possible par un traitement de signal numérique. Aux stations de base il faut recevoir plusieurs canaux en parallèle, ce qui peut être réalisé évidemment par une unité de canalisation pour chaque canal. Cette méthode, nommée perchannel approach, n ’est pas très élégante. Alternativement, on peut utiliser un banc de filtre ce qui promet d’économiser beaucoup d’efforts en réalisant seulement un filtre pour tous les canaux. Ces deux méthodes sont présentées et discutées en détail. Finalement, elles sont comparées l’une avec l’autre relatif à vos taux de multiplication. Ce résultat de comparaison est un peu surprenant.
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References
Hentschel (T.), Henker (M.), Fettweis (G.P.), “The Digital Front-End of Software Radio Terminals,”,Ieee Personal Communications,6, pp. 40–46, Aug. 1999.
Crochiere (R.E.), Rabiner (L.R.),Multirate Digital Signal processing, Prentice-Hall, 1983.
Zangi (K.C.), Koilpillai (R.D.), “Software Radio Issues in Cellular Base Stations,”Ieee Jounal on Selected Areas in Communications,Jsac-17, pp. 561–573, Apr. 1999.
Hentschel (T.), Fettweis (G.), “The Digital Front-End -Bridge BetweenRf-and Baseband-Processing,”inSoftware Radio: Enabling Technologies (W. Tuttlebee, ed.), John Wiley & Sons Limited, 2002.
Walden (R.H.), “Analog-to-Digital Converter Survey and Analysis,”Ieee Jounal on Selected Areas in Communications,Jsac-17, pp. 539–550, Apr. 1999.
LÖhning (M.), Hentschel (T.), Fettweis (G.P.), “Digital Down Conversion in Software Radio Terminals,” inProceedings of the 10. European Signal Processing Conference (Eusipco), 3, (Tampere (Finland)), pp. 1517–1520, 5.–8. Sept. 2000.
Volder (J.E.), “TheCordic trigonometric computing technique,”IRETransactions on Electronic Computers,Ec-8, pp. 330–334, Sept. 1959.
Hu (X.), Harber (R.G.), Bass (S.C.), “Expanding the range of convergence of theCordic algorithm,”,Ieee Transactions on Computers,40, pp. 13–21, Jan. 1991.
Bellanger (M.),Digital Processing of Signals Theory and Practice, John Wiley & Sons Ltd, 2 ed., 1989.
Hentschel (T.),Multirate Systems for Sample Rate Conversion in Software Radio Terminals, Artech House Books, 2002. to appear.
Hf.ntschel (T.), Fettweis (G.P.), “Sample Rate Conversion for Software Radio,”Ieee Communications Magazine,38, pp. 142–150, Aug. 2000.
Hogenauer (E.B.), “An Economical Class of Digital Filters for Decimation and Interpolation,”Ieee Transactions on Acoustics, Speech and Signal Processing,Assp-29, pp. 155–162, Apr. 1981.
Fliege (N.J.),Multirate Digital Signal Processing: Multirate Systems, Filter Banks, Wavelets, John Wiley & Sons, 1994.Isbn: 0-471-93976-5.
Reng (R.L.), “Polyphase and Modulation Descriptions of Multirate Systems – A Systematic Approach,”inInternational Conference on Digital Signal Processing, (Limassol, Cyprus), pp. 212–217, June 1995.
Hentschel (T.),Multirate Systems for Sample Rate Conversion in Software Radio, PhD thesis, Technische Universität Dresden, Dresden, Germany, Sept. 2001.
Proakis (J.G.), Manolakis (D.G.),Digital Signal Processing, Prentice-Hall, Inc., 3rd ed., 1996.
Vollmer (A.), “Signal Processing Core Enables Real-Time Communications,”ElectronicDesign, pp. 64—68, Sept. 2001.
“The Pipelined Frequency Transform (Pft).”white paper obtainable at www.rfel.com, Feb. 2002. Reference NoPft 001.Rev2.
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Hentschel, T. Channelization for software defined base-stations. Ann. Télécommun. 57, 386–420 (2002). https://doi.org/10.1007/BF02995169
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DOI: https://doi.org/10.1007/BF02995169
Key words
- Software radio
- Radiocommunication
- Base station
- Receiver
- Frequency conversion
- Down converter
- Digital signal processing
- Channel selector
- Digital filtering
- Discrete Fourier transform