Low complexity and narrow transition band filter banks for software defined radio applications

We presented an improved efficient architecture of low complexity and narrow transition band filter banks for software defined radio applications. A drawback in filter banks is that the narrow transition band filter is designed with high computation complexity. In order to get around this problem, this paper shows how the filter banks architecture can be designed with low complexity by using frequency response masking technology. We derives efficient architecture of exponentially modulated filter banks based the theory of polyphase, and uses frequency response masking technology to design narrow transition band filter. With employed this method we can extract uniform bandwidths and very narrow bandwidth channels compared to polyphase filter banks. A simulation is provided to illustrate the method of the proposed filter banks architecture. It is shown that the resulting filter banks entail substantially less computational complexity compared to the polyphase filter banks.

[1]  Arun Sebastian,et al.  A low complex 10-band non-uniform FIR digital filter bank using frequency response masking technique for hearing aid , 2014, 2014 First International Conference on Computational Systems and Communications (ICCSC).

[2]  Malihah Hassani,et al.  Computationally efficient algorithm for reducing the complexity of software radio receiver's filter bank , 2005 .

[3]  T. S. Bindiya,et al.  Metaheuristic algorithms for the design of multiplier-less non-uniform filter banks based on frequency response masking , 2014, Soft Comput..

[4]  Tapio Saramäki,et al.  An Efficient Algorithm for the Optimization of FIR Filters Synthesized Using the Multistage Frequency-Response Masking Approach , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[5]  Malihah Hassani,et al.  Computationally efficient algorithm for reducing the complexity of software radio receiver's filter bank , 2005, Canadian Conference on Electrical and Computer Engineering, 2005..

[6]  Anitha Edison,et al.  Reconfigurable perfect reconstruction filter bank channelizer for software defined radio , 2012, 2012 Annual IEEE India Conference (INDICON).

[7]  P. P. Vaidyanathan,et al.  Filter banks in digital communications , 2001 .

[8]  David Ernesto Troncoso Romero.  High-speed multiplierless Frequency Response Masking (FRM) FIR filters with reduced usage of hardware resources , 2015, 2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS).

[9]  David Ernesto Troncoso Romero,et al.  High-speed multiplierless Frequency Response Masking (FRM) FIR filters with reduced usage of hardware resources , 2015, MWSCAS.

[10]  Tapio Saramäki,et al.  Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[11]  Tianjian Chen,et al.  The Analysis and Design of One-Dimensional Nearly-Orthogonal Symmetric Wavelet Filter Banks , 2009, ICN 2009.

[12]  R. S. Bhuvaneswaran,et al.  Flexible reconfigurable filter architecture for SDR receiver , 2013, 2013 IEEE 11th Malaysia International Conference on Communications (MICC).

[13]  Peng-Lang Shui,et al.  Two-Dimensional $2\times$ Oversampled DFT Modulated Filter Banks and Critically Sampled Modified DFT Modulated Filter Banks , 2010, IEEE Transactions on Signal Processing.

[14]  Peter Vary,et al.  Constrained design of allpass transformed DFT filter-banks by quadratic programming , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).