Skip to main content
Log in

Study on interference suppression based on joint fractional Fourier domain and time domain

  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

An interference suppression algorithm is proposed to meet challenges of the traditional technique in dealing with the linear frequency modulation (LFM) interference, such as high loss of signal-to-noise ratio (SNR), the output signal-to-interference-plus-noise ratio (SINR) sensitive to input interference-to-signal ratio (ISR) that results in an unstable synchronization, and the spectrum leakage serious in strong ISR situation. This approach firstly makes use of the windowed and lapped technique to the fractional Fourier transform (FRFT) to enhance the ISR improvement and lower the SNR loss. Then by weakening the interference and a secondary threshold process, interference energy can be suppressed as much as possible and the output SINR is less sensitive to the ISR. Finally, a joint fractional Fourier domain and time domain technique is proposed to overcome the residual interference energy caused by the strong interference or the discontinuous-phase interference. Theoretical analysis and simulation results show that the proposed algorithm can achieve better performance than the conventional methods in suppressing both the multi period LFM interference and the multi chirp-rate LFM interference, especially in the strong interference environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Slilstein L B. Interference rejection techniques in spread spectrum communications. Proc IEEE, 1988, 76(6): 657–671

    Article  Google Scholar 

  2. Tyler S, Amin M. Mitigating interference in direct sequence spread spectrum communication systems. Rome Lab Tech J, 1995, 1: 35–45

    Google Scholar 

  3. Sandberg S D, Del Marco S, Jagler K. Some alternatives in transform-domain suppression of narrow-band interference for signal detection and demodulation. IEEE Trans Comm, 1995, 43: 3025–3036

    Article  Google Scholar 

  4. Kutay M A, Ozaktas H M, Arikan O. Optimal filtering in fractional Fourier domains. IEEE Trans Signal Proc, 1997, 45(5): 1129–1143

    Article  Google Scholar 

  5. Amin M G. Interference mitigation in spread spectrum communication systems using time-frequency distributions. IEEE Trans Signal Proc, 1997, 45(1): 90–101

    Article  MathSciNet  Google Scholar 

  6. Barbarossa S, Scaglione A. Adaptive time-varying cancellation of wideband interferences in spread-spectrum communications based on time-frequency distributions. IEEE Trans Signal Proc, 1999, 47(4): 957–965

    Article  Google Scholar 

  7. Chaparro L F, Suleesathira R. Non-stationary jammer excision in spread spectrum communications via discrete evolutionary and Hough transforms. Signal Proc, 2003, 83(5): 1117–1133

    Article  MATH  Google Scholar 

  8. Ouyang X, Amin M G. Short-time Fourier transform receiver for nonstationary interference excision in direct sequence spread spectrum communications. IEEE Trans Signal Proc, 2001, 49(4): 851–863

    Article  Google Scholar 

  9. Landry R J R, Mouyon P, Lekaim D. Interference mitigation in spread spectrum systems by wavelet coefficients thresholding. Euro Trans Telecomm, 2008, 9(2): 191–202

    Article  Google Scholar 

  10. Olcay A, G. Faye B. Broadband interference excision in spread spectrum communication systems via fractional Fourier transform. Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems & Computers. Pacific Grove, CA, USA: IEEE Comp Soc, 1998, 1: 832–837

    Google Scholar 

  11. Qi L, Tao R, Zhou S Y, et al. Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform. Sci China Ser E-Inf Sci, 2003, 33(8): 749–759

    Google Scholar 

  12. Medley M J, Saulnier G J, Das P K. Narrow-band interference excision in spread spectrum systems using lapped transforms. IEEE Trans Comm, 1997, 45(11): 1444–1455

    Article  Google Scholar 

  13. Capozza P T, Holland B J, Hopkinson T M. A single-chip narrow-band frequency-domain excisor for a global positioning system (GPS) Receiver. IEEE J Solid-state Cir, 2000, 35(3): 401–411

    Article  Google Scholar 

  14. Almeida L B. The fractional Fourier transform and time-frequency representations. IEEE Trans Signal Proc, 1994, 42(11): 3084–3091

    Article  Google Scholar 

  15. Tao R, Deng B, Wang Y. Research process of the fractional Fourier transform in signal processing. Sci China Ser E-Tech Sci, 2006, 36(2): 113–136

    Google Scholar 

  16. Ozaktas H M, Ankan O, Alper K M. Digital computation of the fractional Fourier transform. IEEE Trans Signal Proc, 1996, 44(9): 2141–2150

    Article  Google Scholar 

  17. Pei S C, Ding J J. Closed-form discrete fractional and affine Fourier transforms. IEEE Trans Signal Proc, 2000, 48(5): 1338–1353

    Article  MathSciNet  MATH  Google Scholar 

  18. Tao R, Deng B, Wang Y. Research process of the discrete fractional Fourier transform. Sci China Ser E-Tech Sci, 2008, 38(4): 481–503

    Google Scholar 

  19. Zayed A I. A convolution and product theorem for the fractional Fourier transform. IEEE Signal Proc Lett, 1998, 5(4): 101–103

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ran Tao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Huang, K., Tao, R., Wu, K. et al. Study on interference suppression based on joint fractional Fourier domain and time domain. Sci. China Technol. Sci. 54, 2674–2686 (2011). https://doi.org/10.1007/s11431-011-4533-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-011-4533-7

Keywords

Navigation