Skip to main content
SpringerLink
Log in

Suppression of Time-varying Multi-tone Interference Based on Frequency Domain Interference Detection

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Existing active multi-tone interference (MTI) suppression methods used in direct sequence spread spectrum (DSSS) consider the interference to be time-invariant. However, in most practical scenarios, the interference is time-varying. These conventional analytic models cannot be directly applied to current realistic systems with time-varying interference. Hence, in this paper, we propose a novel approach based on frequency domain interference detection to suppress MTI experiencing a time-varying fading channel. Our approach operates in two steps. Firstly, we calculate the interference decision threshold by the probability of false alarm based on the Neyman-Pearson (NP) criterion. Secondly, we consider that the frequency bin is corrupted by interference, and the corresponding point is set to zero if the magnitude of the received signal exceeds the threshold. The simulation results demonstrate that our proposed method can mitigate time-varying MTI effectively, and can approach the interference-free performance limit over practical ranges of interference power levels and mobility levels.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Wang, C., Ma, M. D., Ying, R. D., & Yang, Y. H. (2010). Narrowband interference mitigation in DS-UWB systems. IEEE Signal Processing Letters, 17(5), 429–432.

    Article  Google Scholar 

  2. Lee, Y., Kang, D. H., Park, H., & Oh, W. (2009). Tone-interference cancellation algorithm for direct-sequency spread-spectrum systems. In 3rd international conference on anti-counterfeiting, security, and identification in communication (pp. 25–28). Hong Kong, China.

  3. Zhao, T. T., Zhao, H., Zhao, Y. P., Cheng, X., & Ai, B. (2011). A frequency-domain estimation scheme for single-tone interference in OFDM systems. In 3rd international conference on communications and mobile computing (pp. 409–412), Qingdao, China.

  4. IIiev, G., Poulkov, V., & Ovtcharov, M. (2011). Performance comparison of NBI suppression methods for MIMO OSTBC-OFDM systems. In 7th IEEE international workshop on performance and management of wireless and mobile networks (pp. 630–633). Bonn, Germany.

  5. Pouttu, A., Juntti, J., & Kumpumäki, T. (1998). Adaptive transform domain interference suppression in a hybrid DS/FH-system. In IEEE international symposium on spread spectrum techniques and applications (Vol. 1, pp. 351–355). Sun City, South Africa.

  6. Wang, S., An, J. P., Wang, A. H., & Bu, X. Y. (2010). A minimum value based threshold setting strategy for frequency domain interference excision. IEEE Signal Processing Letters, 17(5), 501–504.

    Article  Google Scholar 

  7. Capozza, P. T., Holland, B. J., Hopkinson, T. M., & Landrau, R. L. (2000). A single-chip narrow band frequency-domain excisor for a global positioning system (GPS) receiver. IEEE Journal of Solid-State Circuits, 35, 401–411.

    Article  Google Scholar 

  8. Henttu, P., & Aromaa, S. (2002). Consecutive mean excision algorithm. In IEEE international symposium on spread spectrum techniques and applications (Vol. 2/3, pp. 450–454). Prague, Czech Republic.

  9. Saarnisaari, H. (2004). Consecutive mean excision algorithms in narrowband or short time interference mitigation. In Position location and navigation symposium (Vol. 1, pp. 447–454). Monterey, CA.

  10. Vartiainen, J., Lehtomäki, J. J., & Saarnisaari, H. (2005). Double-threshold based narrowband signal extraction. In IEEE Vehicular Technology Conference (Vol. 2, pp. 1288–1292). Stockholm, Sweden.

  11. Wang, X, Tan, Z. H., Zhu, G., Zhong, Z. D. (2006). Doppler frequency shift estimation for Rician channel in high-speed mobile communications. In 8th international conference on signal processing (Vol. 3, pp. 1–5). Beijing.

  12. Mehdi, H., Teh, K. C., & Li, K. H. (2007). Effect of chip waveforms on the performance of DS-SS in the presence of multitone jamming over generalized-K fading channels. In 6th international conference on information communications and signal processing (pp. 1–5). Singapore.

  13. Carlemalm, C., Poor, H. V., & Logothetis, A. (2000). Suppression of multiple narrowband interferers in a spread-spectrum communication system. IEEE Journal on Selected Areas in Communications, 18(8), 1365–1374.

    Article  Google Scholar 

  14. Chang, H. J., Huang, K. C., & Wu, C. H. (2006). Determination of sample size in using central limit theorem for weibull distribution. Information and Management Sciences, 17(3), 31–46.

    MATH  Google Scholar 

  15. YÜcek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications, Surveys & Tutorials, 11(1), 116–130.

    Article  Google Scholar 

  16. Dipietro, R. C. (1989). An FFT based technique for suppressing narrow-band interference in PN spread spectrum communication systems. International Conference on Acoustics, Speech, and Signal Processing, Scotland, 2, 1360–1363.

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (No. 61101034, No. 61271164, No. 61001087, No. U1035002/L05), National major projects (2011ZX03001-006-01, 2012ZX03003010-003, 2014ZX03003001-002), and the Open Research Fund of the Academy of Satellite Application.

Author information

Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Zhanghong Hao, Hongzhi Zhao, Shihai Shao & Youxi Tang

Authors
  1. Zhanghong Hao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hongzhi Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shihai Shao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Youxi Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhanghong Hao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hao, Z., Zhao, H., Shao, S. et al. Suppression of Time-varying Multi-tone Interference Based on Frequency Domain Interference Detection. Wireless Pers Commun 75, 1051–1060 (2014). https://doi.org/10.1007/s11277-013-1407-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-013-1407-2

Keywords

Search

Navigation