Timing Offset Compensation in Fast-Convolution Filter Bank Based Waveform Processing

Fast convolution processing has recently been proposed as an efficient means for implementing filter bank multicarrier systems with good spectral containment and high flexibility in tuning the subchannel bandwidths and center frequencies. These features make fast convolution filter banks (FC-FBs) a particularly interesting choice for multicarrier transmission in challenging radio scenarios like dynamic spectrum access, cognitive radio, and fragmented spectrum use. The FC-FB approach supports also non-synchronized operation of different users, with high spectral efficiency, which is also a highly desirable feature in the considered scenarios. In this paper we explore the possibilities of compensating timing offsets in FC-FB processing by adjusting the FFT-domain weights. It is demonstrated that arbitrary fractional timing offsets can be handled with low complexity and without significant loss in system performance.

[1]  Marie-Laure Boucheret,et al.  Fast convolution filter banks for satellite payloads with on-board processing , 1999, IEEE J. Sel. Areas Commun..

[2]  Juha Yli-Kaakinen,et al.  Analysis and Design of Efficient and Flexible Fast-Convolution Based Multirate Filter Banks , 2014, IEEE Transactions on Signal Processing.

[3]  G. Cherubini,et al.  Filtered multitone modulation for VDSL , 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

[4]  Behrouz Farhang-Boroujeny,et al.  Multicarrier communication techniques for spectrum sensing and communication in cognitive radios , 2008, IEEE Communications Magazine.

[5]  Gernot Hueber,et al.  Digital signal processing for reducing the effects of RF imperfections in radio devices — An overview , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[6]  Chun Zhang,et al.  A fast frequency domain filter bank realization algorithm , 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

[7]  Kenneth C. Budka,et al.  Mobile responder communication networks for public safety , 2006, IEEE Communications Magazine.

[8]  M. Borgerding,et al.  Turning overlap-save into a multiband mixing, downsampling filter bank , 2006 .

[9]  Lee Pucker CHANNELIZATION TECHNIQUES FOR SOFTWARE DEFINED RADIO , 2003 .

[10]  Markku Renfors,et al.  Filter bank based multi-mode multiple access scheme for wireless uplink , 2009, 2009 17th European Signal Processing Conference.

[11]  Markku Renfors,et al.  Highly adjustable multirate digital filters based on fast convolution , 2011, 2011 20th European Conference on Circuit Theory and Design (ECCTD).

[12]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[13]  Markku Renfors,et al.  Pilot-Based Synchronization and Equalization in Filter Bank Multicarrier Communications , 2010, EURASIP J. Adv. Signal Process..