Advertisement

Circuits, Systems, and Signal Processing

, Volume 39, Issue 1, pp 344–362 | Cite as

Design of Low-Complexity IFRM-UMFB Architecture for Wideband Digital Receivers

  • Wenxu Zhang
  • Xiaolei Fan
  • Lipeng GaoEmail author
  • Feiran Liu
  • Tao Chen
Article
  • 71 Downloads

Abstract

Modulated filter bank with low complexity is the key to realize the engineering applications for speech signal processing, multicarrier communication, and wideband digital receivers. The frequency response masking (FRM) technology is an effective method to design finite impulse response filters with narrow transition band (NTB). In this paper, an interpolation FRM unified modulated filter bank (IFRM-UMFB) architecture with NTB is proposed to reduce the computational complexity of the modulated filter bank architecture. The IFRM approach increases the transition band of two masking filters by the interpolation of N and reduces the computational complexity of two masking filters compared with classic FRM approach. The proposed IFRM-UMFB architecture with NTB is suitable for different odd-stacked or even-stacked, maximally decimated or non-maximally decimated structures. The proposed IFRM-UMFB architecture with NTB is verified to be correct through simulation. The complexity comparison result shows that the proposed IFRM-UMFB architecture offers multipliers reduction of 77.4% over the directly design approach and 26.5% over the classic FRM approach. Moreover, the proposed IFRM-UMFB architecture with NTB also can be directly applied to wideband digital receivers with high sampling rate.

Keywords

Wideband digital receivers Unified modulated filter bank Interpolation frequency response masking Narrow transition band 

Notes

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 61571146 and in part by the Foundation of Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space (Nanjing Univ. Aeronaut. Astronaut.), Ministry of Industry and Information Technology, Nanjing, 211106, China under Grant KF20181904.

References

  1. 1.
    A. Ambede, K.G. Smitha, A.P. Vinod, Flexible low complexity uniform and nonuniform digital filter banks with high frequency resolution for multistandard radios. IEEE Trans. Very Large Scale Integr. Syst. 23(4), 631–641 (2015)CrossRefGoogle Scholar
  2. 2.
    A. Ambede, S. Shreejith, A.P. Vinod, S.A. Fahmy, Design and realization of variable digital filters for software defined radio channelizers using an improved coefficient decimation method. IEEE Trans. Circuits Syst. II: Express Briefs 63(1), 59–63 (2016)CrossRefGoogle Scholar
  3. 3.
    W.A. Abu-Al-Saud, G.L. Stuber, Efficient wideband channelizer for software radio systems using modulated PR filter banks. IEEE Trans. Signal Process. 52(10), 2807–2820 (2004)CrossRefGoogle Scholar
  4. 4.
    T.S. Bindiya, E. Elias, Modified metaheuristic algorithms for the optimal design of multiplier-less non-uniform channel filters. Circuits Syst. Signal Process. 33(3), 815–837 (2014)CrossRefGoogle Scholar
  5. 5.
    T.S. Bindiya, E. Elias, Design of totally multiplier-less sharp transition width tree structured filter banks for non-uniform discrete multitone system. AEU-Int. J. Electron. Commun. 69(3), 655–665 (2015)CrossRefGoogle Scholar
  6. 6.
    X.F. Chen, F. Harris, E. Venosa, B.D. Rao, Bhaskar, Non-maximally decimated filter bank-based single-carrier receiver: a pathway to next-generation wideband communication. EURASIP J. Adv. Signal Process. 1(2014), 62–76 (2014)CrossRefGoogle Scholar
  7. 7.
    T. Chen, P.C. Li, W.X. Zhang, Y. Liu, A novel channelized FB architecture with narrow transition bandwidth based on CEM FRM. Ann. Telecommun.-Ann. Des Telecommun. 71(1), 1–7 (2015)Google Scholar
  8. 8.
    S.J. Darak, S.K.P. Gopi, V.A. Prasad, E. Lai, Low-complexity reconfigurable fast filter bank for multi-standard wireless receivers. IEEE Teans. Very Large Scale Intergr. Syst. 22(5), 1202–1206 (2004)CrossRefGoogle Scholar
  9. 9.
    S.J. Darak, S.K.P. Gopi, V.A. Prasad, E. Lai, Low-complexity reconfigurable fast filter bank for multi-standard wireless receivers. IEEE Trans. Very Large Scale Integr. Syst. 22(5), 1202–1206 (2014)CrossRefGoogle Scholar
  10. 10.
    S.J. Darak, J. Palicot, V.A. Prasad, H. Zhang, Reconfigurable filter bank with complete control over subband bandwidths for multistandard wireless communication receivers. IEEE Trans. Very Large Scale Integr. Syst. 23(9), 1772–1782 (2015)CrossRefGoogle Scholar
  11. 11.
    A.G. Farashahi, M. Mohammad-Pour, A unified theoretical harmonic analysis approach to the cyclic wavelet transform. Sahand Commun. Math. Anal. 1, 1–17 (2014)zbMATHGoogle Scholar
  12. 12.
    A.G. Farashahi, Wave packet transforms over finite cyclic groups. Linear Algebra Appl. 489, 75–92 (2016)MathSciNetzbMATHCrossRefGoogle Scholar
  13. 13.
    K. George, C.-I.H. Chen, Multiple signal detection digital wideband receiver using hardware accelerators. IEEE Trans. Aerosp. Electron. Syst. 49, 706–715 (2013)CrossRefGoogle Scholar
  14. 14.
    O. Gustafsson, H. Johansson, L. Wanhammar, Single filter frequency-response masking FIR filters. Circuits Syst. Comput. 12(05), 601–630 (2011)CrossRefGoogle Scholar
  15. 15.
    N. Haridas, E. Elias, Reconfigurable farrow structure-based FRM filters for wireless communication systems. Circuits Syst. Signal Process. 36, 315–338 (2017)CrossRefGoogle Scholar
  16. 16.
    F.J. Harris, C. Dick, M. Rice, Digital receivers and transmitters using polyphase filter banks for wireless communications. IEEE Trans. Microwave Theory Tech. 51(4), 1395–1412 (2003)CrossRefGoogle Scholar
  17. 17.
    J.G. Hao, W.J. Pei, K. Wang, Y.L. Xia, Two-stage iterative design for fast filter bank with low complexity. Electron. Lett. 52(4), 287–289 (2016)CrossRefGoogle Scholar
  18. 18.
    S. Kalathil, E. Elias, Efficient design of non-uniform cosine modulated filter banks for digital hearing aids. AEU-Int. J. Electron. Commun. 69(9), 1314–1320 (2015)CrossRefGoogle Scholar
  19. 19.
    Y. Lian, Complexity reduction for FRM-based FIR filters using the prefilter-equalizer technique. Circuits Syst. Signal Process. 22(2), 137–155 (2003)zbMATHGoogle Scholar
  20. 20.
    Y.C. Lim, Y. Lian, Frequency-response masking approach for digital filter design: complexity reduction via masking filter factorization. IEEE Trans. Circuits Syst. II Analog Digit. Signal Process. 41(8), 518–525 (1994)CrossRefGoogle Scholar
  21. 21.
    Y.C. Lim, Frequency-response masking approach for the synthesis of sharp linear phase digital filters. IEEE Trans. Circuits Syst. 33(4), 357–364 (1986)CrossRefGoogle Scholar
  22. 22.
    Y.C. Lim, Y.J. Yu, T. Saramaki, Optimum masking levels and coefficient sparseness for hiber transformers and half-band filters designed using the frequency-response masking technique. IEEE Trans. Circuits Syst. I: Regul. Papers 52(11), 2444–2445 (2005)CrossRefGoogle Scholar
  23. 23.
    W.R. Lee, L. Caccetta, K.L. Teo, V. Rehbock, A unified approach to multistage frequency-response masking filter design using the WLS technique. IEEE Trans. Signal Process. 54(9), 3459–3467 (2006)zbMATHCrossRefGoogle Scholar
  24. 24.
    Y.C. Lim, B. Farhang-Boroujeny, Fast Filter Bank (FFB). IEEE Trans. Circuits Syst. II Analog Digit. Signal Process. 39(5), 316–318 (1992)CrossRefGoogle Scholar
  25. 25.
    N. Li, B. Nowrouzian, Application of frequency-response masking technique to the design of a novel modified-DFT filter bank. IEEE International Symposium on Circuits and Systems IEEE. 4 (2006)Google Scholar
  26. 26.
    W.Y. Luo, S.P. Liu, L.Z. Zhang, A novel variable bandwidth FRM filter. J. Circuits Syst. 14(6), 42–47 (2009)Google Scholar
  27. 27.
    R. Mahesh, A.P. Vinod, Reconfigurable low area complexity filter bank on frequency response masking for nonuniform channelization in software radio receivers. IEEE Trans. Aerosp. Electron. Syst. 47(2), 1241–1255 (2011)CrossRefGoogle Scholar
  28. 28.
    R. Mahesh, A.P. Vinod, Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation. IET Circuits Dev. Syst. 5(3), 232–242 (2011)CrossRefGoogle Scholar
  29. 29.
    K.G. Smitha, A.P. Vinod, A low complexity reconfigurable multistage channel filter architecture for resource-constrained software radio handsets. Signal Process. Syst. 62(2), 217–231 (2011)CrossRefGoogle Scholar
  30. 30.
    T. Shen, Y.C. Lim, Low complexity frequency-response masking filters using modified structure based on serial masking. Eur. Signal Process. pp. 1400–1404 (2011)Google Scholar
  31. 31.
    I. Sharma, A. Kumar, G.K. Singh, An efficient method for designing multiplier-less non-uniform filter bank based on hybrid method using CSE technique. Circuits Syst. Signal Process. 36(3), 1169–1191 (2017)CrossRefGoogle Scholar
  32. 32.
    K.G. Smitha, A.P. Vinod, A multi-resolution fast filter bank for spectrum sensing in military radio receivers. IEEE Trans. Very Large Scale Integr. Syst. 20(7), 1323–1327 (2012)CrossRefGoogle Scholar
  33. 33.
    D. Sunedh, A.P. Vinod, Design and FPGA implementation of reconfigurable linear-phase digital filter with wide cutoff frequency range and narrow transition bandwidth. IEEE Trans. Circuits Syst. 63, 181–185 (2016)Google Scholar
  34. 34.
    Y. Wei, D.B. Liu, Improved design of frequency-response masking filters using band-edge shaping filter with non-periodical frequency response. IEEE Trans. Signal Process. 61(13), 3269–3278 (2013)MathSciNetzbMATHCrossRefGoogle Scholar
  35. 35.
    Y. Wei, S.G. Huang, A novel approach to design low-cost two-stage frequency-response masking filters. IEEE Trans. Circuits Syst. Express Briefs 62(11), 982–986 (2015)CrossRefGoogle Scholar
  36. 36.
    Y. Wei, Y. Lian, Frequency-response masking filters based on serial masking schemes. Circuits Syst. Signal Process. 29(1), 7–24 (2010)zbMATHCrossRefGoogle Scholar
  37. 37.
    Y. Wei, Y.F. Wang, Design of low complexity adjustable filter bank for personalized hearing aid solutions. IEEE/ACM Trans. Audio. Speech Lang. Process. 23(5), 923–931 (2015)CrossRefGoogle Scholar
  38. 38.
    C.Z. Wu, K.L. Teo, Design of discrete Fourier transform modulation filter bank with sharp transition band. IET Signal Process. 5(4), 433–440 (2011)CrossRefGoogle Scholar
  39. 39.
    J. Yli-Kaakinen, T. Saramaki, Y.J. Yu, An efficient algorithm for the optimization of FIR filters synthesized using the multistage frequency-response masking approach. Circuits Syst. Signal Process. 30, 157–183 (2011)MathSciNetzbMATHCrossRefGoogle Scholar
  40. 40.
    Y.J. Yu, W.J. Xu, Mixed-radix fast filter bank approach for the design of variable digital filters with simultaneously tunable bandedge and fractional delay. IEEE Trans. Signal Process. 60(1), 100–111 (2012)MathSciNetzbMATHCrossRefGoogle Scholar
  41. 41.
    W.X. Zhang, Q.Y. Du, Q.B. Ji et al., Unified FRM-based complex modulated filter bank structure with low complexity. Electronics Letters 54(1), 18–20 (2018)CrossRefGoogle Scholar
  42. 42.
    W.X. Zhang, G.Q. Li, W. Zhang et al., Improved FRM-based maximally decimated filter bank with NTB for software radio channelizer. AEU-Int. J. Electron. Commun. 91(3), 75–84 (2018)CrossRefGoogle Scholar
  43. 43.
    W.X. Zhang, C.J. Zhang, J. Zhang, Implement of Efficient Channelized Receiver Based on FPGA. In: 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing. 1–4 (2011)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Wenxu Zhang
    • 1
  • Xiaolei Fan
    • 1
  • Lipeng Gao
    • 1
    Email author
  • Feiran Liu
    • 2
  • Tao Chen
    • 1
  1. 1.College of Information and Communication EngineeringHarbin Engineering UniversityHarbinPeople’s Republic of China
  2. 2.Electrical Engineering, College of Engineering and Computer ScienceWright State UniversityDaytonUSA

Personalised recommendations