Advertisement

Low-Complexity Channelizer Based on FRM for Passive Radar Multi-channel Wideband Receiver

  • Wenxu Zhang
  • Chunguang Zhang
  • Zhongkai ZhaoEmail author
  • Feiran Liu
  • Tao Chen
Article
  • 4 Downloads

Abstract

The low-complexity channelizer is essential in passive radar multi-channel wideband receiver using array antennas. The digital filter bank is usually used to realize the channelizer. In the paper, a low-complexity channelizer based on frequency response masking (FRM) is proposed to reduce the high computational complexity of the narrow transition bandwidth filter bank. A half-band filter is used to design the prototype filter of the proposed low-complexity channelizer based on FRM. Compared to the maximally decimated filter bank, the decimation coefficient of the non-maximally decimated filter bank can be different from the number of channels, which makes the low-complexity channelizer more flexible. The low-complexity channelizer based on FRM can be directly applied to a wideband receiver without the limit of the sampling rate. The simulation and complexity analysis results show that the proposed low-complexity channelizer is correct and significantly reduces computational and hardware complexities. The proposed low-complexity channelizer makes it possible to implement passive radar multi-channel wideband receiver on a single hardware processor; thus, it is suitable to applied in passive radar multi-channel wideband receiver using array antennas.

Keywords

Multi-channel wideband receiver Non-maximally decimated Narrow transition bandwidth Frequency response masking 

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. Ahmed, M. Tufail, Genetic algorithm-based improved DOA estimation using fourth-order cumulants. Int. J. Electron. 104, 1–14 (2016) Google Scholar
  2. 2.
    T.S. Bindiya, E. Elias, Metaheuristic algorithms for the design of multiplier-less non-uniform filter banks based on frequency response masking. Soft Comput. 18, 1529–1547 (2014)CrossRefGoogle Scholar
  3. 3.
    R. Bregovic, Y.C. Lim, T. Saramaki, Frequency-response masking-based design of nearly prefect-reconstruction two-channel FIR filter banks with rational sampling factors. IEEE Trans. Circuits Syst. 55, 2002–2012 (2008)CrossRefGoogle Scholar
  4. 4.
    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, 27–33 (2016)CrossRefGoogle Scholar
  5. 5.
    X.F. Chen, F.J. Harris, E. Venosa, Non-maximally decimated analysis/synthesis filter banks: applications in wideband digital filtering. IEEE Trans. Circuits Syst. 62, 852–867 (2014)MathSciNetzbMATHGoogle Scholar
  6. 6.
    M.N. Do, M. Vetterli, The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans. Image Process. 14, 2091–2106 (2005)CrossRefGoogle Scholar
  7. 7.
    Y. Fan, F. Gu, X. Tan et al., Digital channelization technology for HF communication base on fast filter bank. China Commun. 15(9), 35–45 (2018)CrossRefGoogle Scholar
  8. 8.
    T. Karp, N.J. Fliege, Modified DFT filter banks with perfect reconstruction. IEEE Trans. Circuits Syst. II Analog Digit. Signal Process. 46(11), 1404–1414 (1999)CrossRefzbMATHGoogle Scholar
  9. 9.
    Y.C. Lim, Y. Lian, The optimal design of one and two dimensional FIR filters using the frequency response masking technique. IEEE Trans. Circuits Syst. 41, 511–520 (1994)Google Scholar
  10. 10.
    Y.C. Lim, Frequency-response masking approach for the synthesis of sharp linear phase digital filters. IEEE Trans. Circuits Syst. 33, 357–364 (1986)CrossRefGoogle Scholar
  11. 11.
    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, 518–525 (1994)CrossRefGoogle Scholar
  12. 12.
    Y.C. Lim, Y.J. Yu, T. Saramaki, Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique. IEEE Trans. Circuits Syst. I Regul. Pap. 52, 2444–2453 (2005)CrossRefGoogle Scholar
  13. 13.
    Y.C. Lim, Y.J. Yu, T. Saramaki, FRM-based FIR filters with optimum finite word-length performance. IEEE Trans. Signal Process. 55, 2914–2924 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  14. 14.
    Y.Z. Liu, Z.P. Lin, Optimal design of frequency response masking filters with deduced group delays. IEEE Trans. Circuits Syst. I Regul. Pap. 55, 1560–1570 (2008)MathSciNetCrossRefGoogle Scholar
  15. 15.
    R. Mahesh, A.P. Vinod, Reconfigurable low area complexity filter bank architecture based on frequency response masking for nonuniform channelization in software radio receivers. IEEE Trans. Aerosp. Electron. Syst. 47, 1241–1255 (2011) CrossRefGoogle Scholar
  16. 16.
    L. Nan, N. Behrouz, Application of frequency response masking technique to the design of a novel modified-DFT filter banks. IEEE ISCAS 5, 30–36 (2006)Google Scholar
  17. 17.
    Romero, E.T. David, High-speed multiplier less frequency response masking (FRM) FIR filters with reduced usage of hardware resources, in IEEE 58th International Midwest Symposium on Circuits and Systems, pp. 1–4 (2015)Google Scholar
  18. 18.
    F. Santi, D. Pastina, A parasitic array receiver for ISAR image of ship targets using a coastal radar. Int. J. Antennas Propag. (2016).  https://doi.org/10.1155/2016/8485305 Google Scholar
  19. 19.
    T. Saramaki, J. Yli-Kaakinen, Optimization of frequency-response- masking based fir filters with reduced complexity. Circuit Syst. IEEE Symp. 3, 225–228 (2002)zbMATHGoogle Scholar
  20. 20.
    S.M. Shajedul Hasan, S.W. Ellingson, Integration of simple antennas to multiband receivers using a novel multiplexer design methodology. IEEE Trans. Antennas Propag. 60(3), 1550–1556 (2012)MathSciNetCrossRefzbMATHGoogle Scholar
  21. 21.
    Z.U. Sheikh, H. Johansson, A class of wide-band linear-phase FIR differentiators using a two-rate approach and the frequency-response masking technique. IEEE Trans. Circuits Syst. 58, 1827–1839 (2011)MathSciNetCrossRefGoogle Scholar
  22. 22.
    T. Shen, Y.C. Lim, Low complexity frequency-response masking filters using modified architecture based on serial masking, in 19th EUSIPCO, Spain, pp. 1400–1404 (2011)Google Scholar
  23. 23.
    K.G. Smitha, R. Mahesh, A.P. Vinod, A reconfigurable multi-stage frequency response masking filter bank architecture for software defined radio receivers, in IEEE International Symposium on Circuits and System, pp. 85–88 (2008)Google Scholar
  24. 24.
    D. Sumedh, K.G. Smitha, Vinod A P, A low complexity reconfigurable channel filter based on decimation, interpolation and frequency response masking, in IEEE International Conference, pp. 5583–5587 (2013)Google Scholar
  25. 25.
    K.M. Tsui, S.C. Chan, Y.C. Lim, Design of multi-plet perfect reconstruction filter banks using frequency response masking technique. IEEE Trans. Circuits Syst. I Regul. Pap. 55, 2707–2715 (2008)MathSciNetCrossRefGoogle Scholar
  26. 26.
    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, 3269–3278 (2013)MathSciNetCrossRefzbMATHGoogle Scholar
  27. 27.
    Y. Wei, S.G. Huang, X.J. Ma, A novel approach to design low-cost two-stage frequency response masking filters. IEEE Trans. Circuits Syst. 62, 982–986 (2015)CrossRefGoogle Scholar
  28. 28.
    J. Yli-Kaakinen, T. Saramaki, An efficient algorithm for the optimization of FIR filters synthesized using the multistage frequency-response masking approach. Circuits Syst. Process. 30, 57–183 (2011)MathSciNetzbMATHGoogle Scholar
  29. 29.
    K. Yli, T. Saramaki, 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)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

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

Authors and Affiliations

  • Wenxu Zhang
    • 1
  • Chunguang Zhang
    • 1
  • Zhongkai Zhao
    • 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 EngineeringWright State UniversityDaytonUSA

Personalised recommendations