Time-domain modified DFT modulated filter banks for multi-carrier transceiver systems

doi:10.1016/S1005-8885(14)60286-7

Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (2): 57-62.doi: 10.1016/S1005-8885(14)60286-7

• Wireless • Previous Articles Next Articles

Time-domain modified DFT modulated filter banks for multi-carrier transceiver systems

1. Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China 2. Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere FI-33101, Finland

Received:2013-11-12 Revised:2014-03-12 Online:2014-04-30 Published:2014-04-30
Supported by:
Young Scientists Fund of Chongqing University of Posts and Telecommunications (A2013-32).

Abstract

Abstract:

A time domain designing method is proposed for discrete Fourier transform (DFT) modulated filter banks (DFT-FBs) for application in multi-carrier transceiver systems. Instead of using the time-reversed pair limitation between the transmitting /receiving filter pair, the receiving filters in the proposed filter banks are derived from transmitting filters in accordance with the Moore-Penrose generalized inverse matrix. It can be freely obtained to design the transmitting prototype filter, which mainly affects the level of spectral containment. Furthermore, the symbol error rate (SER) performance of the proposed filter bank based trans-multiplexer with one tap equalizer is investigated in ideal channel and multi-path channel environments respectively. Simulation shows that the proposed approach can achieve significant SER reductions when square root raised cosine (RRC) prototype filter is used for comparing with the orthogonal frequency division multiplexing (OFDM) and the general DFT-FBs based applications.

Key words:

time-domain matrix, DFT filter banks, perfect reconstruction, filter bank multi-carrier (FBMC) systems, transceiver

References

1. Goldsmith A. Wireless communications. London, UK: Cambridge University Press, 2006

2. Farhang-Boroujeny B, Kempter R. Multicarrier communication techniques for spectrum sensing and communication in cognitive radios. IEEE Communications Magazine, 2008, 46(4): 80-85

3. Farhang-Boroujeny B. OFDM versus filter bank multicarrier. IEEE Signal Processing Magazine, 2011, 28(3): 92-112

4. Lim A, Dam H H, Nordholm S. Filter bank design for DFT based transmultiplexers. Proceedings of the 11th Asia-Pacific Conference on Communications (APCC’05): Oct 3-5, 2005, Perth, Australia. Piscataway, NJ, USA: IEEE, 2005: 965-968

5. Cruz-Roldán F, Blanco-Velasco M. Joint use of DFT filter banks and modulated transmultiplexers for multicarrier communications. Signal Processing, 2011, 91(7): 1622-1635

6. Cruz-Roldán F, Blanco-Velasco M, Godino J I. Zero-padding or cyclic prefix for MDFT-based filter bank multicarrier communications. Signal Processing, 2012, 92(7): 1646-1657

7. Beaulieu F D, Champagne B. Design of prototype filters for perfect reconstruction DFT filter bank transceivers. Signal Processing, 2009, 89(1): 87-98

8. Beaulieu F D, Champagne B. One-tap equalizer for perfect reconstruction DFT filter bank transceivers. Proceedings of the 2007 International Symposium on Signals, Systems and Electronics (ISSSE’07), Jul 30-Aug 2, 2007, Montreal, Canada. Piscataway, NJ, USA: IEEE, 2007: 391-394

9. Rahimi S, Champagne B. Oversampled perfect reconstruction DFT modulated filter banks for multi-carrier transceiver systems. Signal Processing, 2013, 93(11): 2942-2955

10. Rahimi S, Champagne B. Perfect reconstruction DFT modulated oversampled filter bank transceivers. Proceedings of the 19th European Signal Processing Conference (EUSIPCO’11), Aug 29-Sep 2, 2011, Barcelona, Spain. 2011: 1588-1592

11. Jiang J Z, Shui P L, Zhang Z J. Design of oversampled DFT-modulated filter banks via modified Newton’s method. IET Signal Processing, 2011, 5(3): 271-280

12. Wang G Y, Zhang Z F, Chen Q B. Analysis and properties of time-varying modified DFT filter banks. EURASIP Journal on Advances in Signal Processing, 2010(6): 1-6

13. Nayebi K, Barnwell T P, Smith M J T. Time-domain filter bank analysis: a new design theory. IEEE Transactions on Signal Processing, 1992, 40(6): 1412-1429

14. Campbell S L, Meyer C D. Generalized inverses of linear transformations. Philadelphia, PA, USA: Society for Industrial & Applied Mathematics, 2009

15. Lin Y P, Phoong S M, Vaidyanathan P P. Filter bank transceivers for OFDM and DMT systems. London, UK: Cambridge University Press, 2010

16. Benvenuto N, Tomasin S, Tomba L. Equalization methods in OFDM and FMT systems for broadband wireless communications. IEEE Transactions on Communications, 2002, 50(9): 1413-1418

17. Vaidyanathan P P. Multirate systems and filter banks. Englewood Cliffs, NJ, USA: Prentice-Hall, 1993

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Time-domain modified DFT modulated filter banks for multi-carrier transceiver systems

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