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Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time-Frequency Analysis

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Abstract

This paper introduces a novel algorithm to excise single and multicomponent chirp-like interferences in direct sequence spread spectrum (DSSS) communications. The excision algorithm consists of two stages: adaptive signal decomposition stage and directional element detection stage based on the Hough-Radon transform (HRT). Initially, the received spread spectrum signal is decomposed into its time-frequency (TF) functions using an adaptive signal decomposition algorithm, and the resulting TF functions are mapped onto the TF plane. We then use a line detection algorithm based on the HRT that operates on the image of the TF plane and detects energy varying directional elements that satisfy a parametric constraint. Interference is modeled by reconstructing the corresponding TF functions detected by the HRT, and subtracted from the received signal. The proposed technique has two main advantages: (i) it localizes the interferences on the TF plane with no cross-terms, thus facilitating simple filtering techniques based on thresholding of the TF functions, and is an efficient way to excise the interference; (ii) it can be used for the detection of any directional interferences that can be parameterized. Simulation results with synthetic models have shown successful performance with linear and quadratic chirp interferences for single and multicomponent interference cases. The proposed method excises the interference even under very low SNR conditions of dB, and the technique could be easily extended to any interferences that could be represented by a parametric equation in the TF plane.

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References

  1. 1.

    Yang W, Bi G: Adaptive wavelet packet transform-based narrowband interference canceller in DSSS systems. Electronics Letters 1997,33(14):1189-1190. 10.1049/el:19970817

  2. 2.

    Ranheim A: Narrowband interference rejection in direct-sequence spread-spectrum system using time-frequency decomposition. IEE Proceedings: Communications 1995,142(6):393-400. 10.1049/ip-com:19952299

  3. 3.

    Poor HV, Wang X: Adaptive suppression of narrowband digital interferers from spread spectrum signals. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '96), May 1996, Atlanta, Ga, USA 2: 1061-1064.

  4. 4.

    Liu L, Ge H: Time-varying AR modeling and subspace projection for FM jammer suppression in DS/SS-CDMA systems. Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers (ACSSC '03), November 2003, Pacific Grove, Calif, USA 1: 623-627.

  5. 5.

    Rao KD, Swamy MNS, Plotkin EI: A nonlinear adaptive filter for narrowband interference mitigation in spread spectrum systems. Signal Processing 2005,85(3):625-635. 10.1016/j.sigpro.2004.11.005

  6. 6.

    Laster JD, Reed JH: Interference rejection in digital wireless communications. IEEE Signal Processing Magazine 1997,14(3):37-62. 10.1109/79.587051

  7. 7.

    Cohen L: Time-frequency distributions-a review. Proceedings of the IEEE 1989,77(7):941-981. 10.1109/5.30749

  8. 8.

    Amin MG: Interference mitigation in spread spectrum communication systems using time-frequency distributions. IEEE Transactions on Signal Processing 1997,45(1):90-101. 10.1109/78.552208

  9. 9.

    Barbarossa S, Scaglione A: Adaptive time-varying cancellation of wideband interferences in spread-spectrum communications based on time-frequency distributions. IEEE Transactions on Signal Processing 1999,47(4):957-965. 10.1109/78.752594

  10. 10.

    Krongold BS, Kramer ML, Ramchandran K, Jones DL: Spread spectrum interference suppression using adaptive time-frequency tilings. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97), April 1997, Munich, Germany 3: 1881-1884.

  11. 11.

    Ouyang X, Amin MG: Short-time Fourier transform receiver for nonstationary interference excision in direct sequence spread spectrum communications. IEEE Transactions on Signal Processing 2001,49(4):851-863. 10.1109/78.912929

  12. 12.

    Bultan A, Akansu AN: A novel time-frequency exciser in spread spectrum communications for chirp-like interference. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '98), May 1998, Seattle, Wash, USA 6: 3265-3268.

  13. 13.

    Suleesathira R, Chaparro LF: Jammer excision in spread spectrum using discrete evolutionary-Hough transform and singular value decomposition. Proceedings of the 10th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '00), August 2000, Pennsylvania, Pa, USA 519-523.

  14. 14.

    Tazebay MV, Akansu AN: Adaptive subband transforms in time-frequency excisers for DSSS communications systems. IEEE Transactions on Signal Processing 1995,43(11):2776-2782. 10.1109/78.482125

  15. 15.

    Matz G, Hlawatsch F: Time-frequency projection filters: online implementation, subspace tracking, and application to interference excision. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02), May 2002, Orlando, Fla, USA 2: 1213-1216.

  16. 16.

    Amin MG, Mandapati GR: Nonstationary interference excision in spread spectrum communications using projection filtering methods. Proceedings of the 32nd Asilomar Conference on Signals, Systems and Computers, November 1998, Pacific Grove, Calif, USA 1: 827-831.

  17. 17.

    Krishnan S: Adaptive signal processing techniques for analysis of knee joint vibroarthrographic signals, Ph.D. thesis. University of Calgary, Alberta, Canada; 1999.

  18. 18.

    Cohen L, Posch T: Positive time-frequency distribution functions. IEEE Transactions on Acoustics, Speech, and Signal Processing 1985,33(1):31-38. 10.1109/TASSP.1985.1164512

  19. 19.

    Loughlin PJ, Pitton JW, Atlas LE: Construction of positive time-frequency distributions. IEEE Transactions on Signal Processing 1994,42(10):2697-2705. 10.1109/78.324735

  20. 20.

    Mallat SG, Zhang Z: Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing 1993,41(12):3397-3415. 10.1109/78.258082

  21. 21.

    Erkucuk S, Krishnan S: Time-frequency filtering of interferences in spread spectrum communications. Proceedings of the 7th International Symposium on Signal Processing and Its Applications (ISSPA '03), July 2003, Paris, France 2: 323-326.

  22. 22.

    Rangayyan RM, Krishnan S: Feature identification in the time-frequency plane by using the Hough-Radon transform. Pattern Recognition 2001,34(6):1147-1158. 10.1016/S0031-3203(00)00073-X

  23. 23.

    Duda RO, Hart PE: Use of the Hough transformation to detect lines and curves in pictures. Communications of the ACM 1972,15(1):11-15. 10.1145/361237.361242

  24. 24.

    Herman GT: Image Reconstruction from Projections. The Fundamentals of Computerized Tomography. Academic Press, New York, NY, USA; 1980.

  25. 25.

    Xu L, Oja E, Kultanen P: A new curve detection method: randomized Hough transform (RHT). Pattern Recognition Letters 1990,11(5):331-338. 10.1016/0167-8655(90)90042-Z

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Correspondence to Sridhar Krishnan.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Krishnan, S., Erküçük, S. Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time-Frequency Analysis. J Wireless Com Network 2007, 014916 (2007) doi:10.1155/2007/14916

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Keywords

  • Line Detection
  • Detection Stage
  • Directional Interference
  • Direct Sequence Spread Spectrum
  • Spread Spectrum Communication