Low-Complexity Reconfigurable Fast Filter Bank for Multi-Standard Wireless Receivers

This brief presents a new low-complexity reconfigurable fast filter bank (RFFB) for wireless communication applications such as spectrum sensing and channelization. In RFFB, the bandwidth and center frequency of sub-bands can be varied with high frequency resolution without hardware reimplementation. This is achieved with an improved modified frequency transformation-based variable digital filter (MFT-VDF) at the first stage of the proposed multistage implementation. Existing second-order frequency transformation-based low-pass VDFs have limited cutoff frequency range which is approximately 12.5% of the sampling frequency. The proposed low-pass MFT-VDF offers unabridged control over the cutoff frequency on a wide frequency range thereby, improving the cutoff frequency range of existing VDFs. The design example shows that the RFFB is easy to design and offers substantial savings in gate counts over other filter banks.

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

[2]  A. Oppenheim,et al.  Variable cutoff linear phase digital filters , 1976 .

[3]  Håkan Johansson,et al.  Minimax design of adjustable-bandwidth linear-phase FIR filters , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Tzi-Dar Chiueh,et al.  A Low-Power Digit-Based Reconfigurable FIR Filter , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

[5]  S. D. Roy,et al.  Frequency transformations for linear-phase variable-cutoff digital filters , 1979 .

[6]  A. Prasad Vinod,et al.  A new variable digital filter design based on fractional delay , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[7]  R. Mahesh,et al.  Reconfigurable discrete fourier transform filter banks for variable resolution spectrum sensing , 2010, 2010 IEEE International Conference on Communication Systems.

[8]  Jianfeng Wang,et al.  Emerging cognitive radio applications: A survey , 2011, IEEE Communications Magazine.

[9]  Shing-Chow Chan,et al.  A new method for designing FIR filters with variable characteristics , 2004, IEEE Signal Processing Letters.

[10]  Lee Jun Wei,et al.  A flexible and efficient sharp filter bank architecture for variable bandwidth systems , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[11]  Yong Ching Lim,et al.  Fast filter bank (FFB) , 1992 .

[12]  B. Bing,et al.  Cognitive Spectrum Sensing and Detection Using Polyphase DFT Filter Banks , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.

[13]  A. Prasad Vinod,et al.  A Low Complexity Reconfigurable Non-uniform Filter Bank for Channelization in Multi-standard Wireless Communication Receivers , 2012, J. Signal Process. Syst..

[14]  A. Prasad Vinod,et al.  A Multi-Resolution Fast Filter Bank for Spectrum Sensing in Military Radio Receivers , 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[15]  A. Prasad Vinod,et al.  Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation , 2011, IET Circuits Devices Syst..