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A Survey of Adaptive Single Channel Interference Rejection Techniques for Wireless Communications

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Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 309))

Abstract

Tremendous growth in wireless communications has greatly increased loading of the spectrum. Spectrum loading translates into a higher likelihood of users interfering with one another. Interference rejection techniques provide a means of minimizing this multi-user interference, allowing greater usage of available spectrum.

This survey paper focuses on single-channel techniques for interference rejection (that is, techniques employing one antenna) as opposed to multi-channel techniques (which utilize arrays or crosspolarized antennas). Implementation papers are deemphasized in this survey since techniques constitute the main interest. The paper divides interference rejection techniques for digital modulation into spread spectrum techniques and non-spread spectrum techniques.

Spread spectrum categories include direct sequence (DS), code division multiple access (CDMA), and frequency hopping (FH). DS techniques focus on rejection of narrowband interference and include whitening filters (i.e., adaptive notch fiilters), decision feedback fiilters, and adaptive A/D conversion. Some CDMA techniques employ interference estimation-and-subtraction from the signal-of-interest, while others exploit spectral correlation properties. FH techniques apply whitening filters and make use of the transient nature of the hopping signal. Non-spread spectrum techniques include the constant modulus algorithm, neural networks, non-linear filters, and time-varying filters that use spectral correlation properties.

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References

  1. D. L. Schilling, G. R. Lomp, and J. Garodnick, “Broadband-CDMA overlay,” Proceedings of the 43rd IEEE Vehicular Technology Conference, p.452–455, 1993.

    Google Scholar 

  2. D.J. Kennedy and E.K. Koh. “Frequency-reuse interference in TDMA/QPSK satellite systems,” Fifth International Conference on Digital Satellite Comunications, (Genoa, Italy), p. 99–107, March 23–26, 1981.

    Google Scholar 

  3. G. W. Travis and H. F. Lenzing, “Shipboard HF interference: problems and mitigation,” MILCOM ′89: Bridging the Gap. Interoperability, Survivability, Security. Conference Record, vol.1, p.106–10, October 1989.

    Article  Google Scholar 

  4. R. Kohno, “Pseudo-noise sequences and interference cancellation techniques for spread spectrum systemss read spectrum theory and techniques in Japan,” IEICE Transactions, vol.E74, no.5, p.1083–92, May 1991.

    Google Scholar 

  5. L.B. Milstein, “Interference rejection techniques in spread spectrum communications,” Proceedings of the IEEE, vol.76, no.6, June 1988.

    Google Scholar 

  6. G.J. Saulnier, “Suppression of narrowband jammers in a spread-spectrum receiver using transformdomain adaptive filtering,” IEEE Journal on Selected Areas in Comunications, vol.10, no.4, p.742–9, Mav 1992 .

    Article  Google Scholar 

  7. D. V. Compernolle and S. van Gerven, Signal separation in a symmetric adaptive noise canceler by output decorrelation,” ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech and Signal Processing, vol.4, p.221–4, 23–26 March 1992.

    Article  Google Scholar 

  8. J.F. Doherty, “Direct sequence spread spectrum interference rejecton using vector space projection techniques,” Virginia Tech’s Third Symposium on Vireless Personal Conmunications. Proceedings, p.9/1–9, June 1993.

    Google Scholar 

  9. J.F. Doherty, “A constrained LMS algorithm for interference rejection,” tMILCOM′92 -’Communications — Fusing Command, Control and Intelligence’ Conference Record, vol.2. p.696–700, 11–14 October 1992.

    MathSciNet  Google Scholar 

  10. J.F. Doherty, “Linearly constrained interference rejection for improved spread spectrum performance,” SUPERCOMM/ICC ′92. Discovering a New World of Communications, vol.3, p.1257–61, 14–18 June 1992.

    Article  Google Scholar 

  11. J.F. Doherty, “An adaptive technique for improving spread spectrum interference rejection,” Proceedings. RF Expo EAST, p.385–7, 29–31 October 1991.

    Google Scholar 

  12. J. Gevargiz, P.K. Das, and L.B. Milstein, “Adaptive narrow-band interference rejection in a DS spreadspectrum intercept receiver using transform domain signal processing techniques,” IEEE Transactions on Communications, vol.37, no.12, p.1359–66, December 1989.

    Article  Google Scholar 

  13. J. Gevargiz, P.K. Das, and L.B. Milstein, “Implementation of a transform domain processing radiometer for DS spread spectrum signals with adaptive narrow-band interference exciser,” Proc. Int. Conf. Commun. (ICC’86), CH2314–3. 1986, p. 251–255.

    Google Scholar 

  14. J. Gevargiz, P.K. Das. and L.B. Milstein. “Performance of a transform domain processing DS intercept receiver in the presence of finite bandwidth interference,” GLOBECOM ′86: IEEE Global Telecomnunications Conference. Conmunications Broadening Technology Horizons. Conference Record, vol.2, p.738–42, 1–4 Dec. 1986.

    Google Scholar 

  15. N.J. Bershad, “Error probabilities for DS spread-spectrum systems using an ALE for narrow-band interference rejection.” IEEE Transactions on Communications. vol.36. no.5. n.588–95 May 1988

    Article  Google Scholar 

  16. Z.D. Stojanovic, M.L. Dukic, I. S. Stojanovic, “A new method for the narrow-band lnterference rejection in the direct sequence spread-spectrum systems using transversal filters,” Proceedings ofMELECON ′87: Mediterranean Electrotechnical Conference and 34th Congress on Electronics Joint Conference, p.14952, 24–26 March 1987.

    Google Scholar 

  17. Y. He, S.-F. Lei, P. Das, and G.J. Saulnier. “Suppression of narrowband jammers in a DS spread spectrum receiver using modified adaptive filtering technique,” GLOBECOM ′88. IEEE Global Telecomnmunications Conference and Exhibition — Coninunications for the Information Age. Conference Record, vol.1, p.540–5, 28 December 1988.

    Article  Google Scholar 

  18. J.H. Lee and C.W. Lee, “Adaptive filters for suppressing irregular hostile jamming in direct sequence spread-spectrum system,” MILCOM 87: 1987 IEEE Military Communications Conference. ′Crisis Comniunications: The Promise and Reality’. Conference Record, vol. 1. p.118–22, 19–22 October 1987.

    Google Scholar 

  19. J.H. Lee and C.W. Lee, “A study on irregular narrow-band interference rejection in direct sequence spread-spectrum system using adaptive filter,” Proceedings ofTENCON 87: 1987 IEEE Region 10 Conference ′Computers and Communications Technology Toward 2000’, vol.3, p.1376–80, 25–28 August 1987.

    Google Scholar 

  20. G.J. Saulnier, K. Yum, and P. Das, “Narrow-band jammer suppression using an adaptive lattice filter,” Proceedings: ICASSP 87. 1987 International Conference on Acoustics, Speech, and Signal Processing, vol.4. p.2113–16, 6–9 April 1987.

    Article  Google Scholar 

  21. G.J. Saulnier, K. Yum, and P. Das, “The suppression of tone jammers using adaptive lattice filtering,” IEEE International Conference on Conmunications ′87: Comnmunications-Sound to Light. Proceedings, vol.2, p.869–73, 7–10 June 1987.

    Google Scholar 

  22. J. Guilford and P. Das, “The use of the adaptive lattice filter for narrowband jammer rejection in DS spread spectrum systems,” IEEE International Conference on Communications 1985, vol.2, p.822–6, 23–26 June 1985.

    Google Scholar 

  23. G.J. Saulnier, P.K. Das. and L.B. Milstein. “An adaptive digital suppression filter for direct-sequence spread-spectrum communications,” IEEE Journal on SelectedAreas in Conmunications, vol.SAC-3, no.5, p.676–86, September 1985.

    Google Scholar 

  24. G.J. Saulnier and P. Das, “Antijam spread spectrum receiver using LMS adaptive filtering techniques,” MILCOM ′84. IEEEalilitary Communications Conference. Conference Record, vol.3, p.482–7, 21–24 Oct. 1984.

    Google Scholar 

  25. G.J. Saulnier, P.K. Das. and L.B. Milstein, “Suppression of narrow-band interference in a direct sequence spread spectrum receiver in the absence of carrier synchronization,” 1985 IEEE Military Communications Conference: NMILCOAM ′85. Conference Record, vol.1, p.13–17, 20–23 October 1985.

    Google Scholar 

  26. P.W. Bandy and D.J. Krause, “Elimination of narrowband noise in spread-spectrum systems,” Conference Proceedings. 28th Midwest Symposium on Circuits and Systems, p.784–7, 19–20 August 1985.

    Google Scholar 

  27. P.W. Baier and K.J. Friederichs, “A nonlinear device to suppress strong interfering signals with arbitrary angle modulation in spread spectrum receivers.” IEEE Trans. Commun., vol. COM-33, p. 300–302, Mar. 1985.

    Article  Google Scholar 

  28. R.L. Fox, S.J. MacMullen, and A. Nauda, “Comparison of interference reduction techniques in the demodulation of bauded angle-modulated signals,” Proceedings of the 1985 Summer Computer Simulation Conference, p.259–64, 22–24 July 1985.

    Google Scholar 

  29. A. Mammela, “The performance of adaptive interference suppression filters used in PN spread-spectrum systems,” EUROCON 88: 8th European Conference on Electrotechnics. Conference Proceedings on Area Communication. p.126–9, 13–17 June 1988.

    Google Scholar 

  30. C.S. Lindquist, K.C. Severance, and H.B. Rozran, “Frequency domain algorithms for adaptive line enhancer and adaptive noise canceler systems,” Conference Record Eighteenth Asilomar Conference on Circuits, Systems and Computers, p.233–7, 5–7 Nov. 1984.

    Google Scholar 

  31. E. Plotkin and D. Wulich, “A comparative study of two adaptive algorithms for suppression of a narrowband interference,” Journal: Signal Processing, vol.4, no.1, p.35–44, January 1982.

    Article  Google Scholar 

  32. E. Plotkin and A. Plotkin, “An adaptive approach to suppress powerful impulsive interference,” Journal: Signal Processing, vol.4, no.1, p.25–33. January 1982.

    Article  MathSciNet  Google Scholar 

  33. J.W. Ketchum and J.G. Proakis, “Adaptive algorithms for estimating and suppressing narrow-band interference in PN spread-spectrum systems,” IEEE Transactions on Communications, vol.30, no.5, pt.1, p. 913–24, May 1982.

    Article  Google Scholar 

  34. L. Li and L.B. Milstein, “The use of adaptive filters for narrowband interference rejection,” NTC ′81. IEEE 1981 National Telecommunications Conference. Innovative Telecommunications — Key to the Future, vol. l, p. B8.4/ 1–4, December 1981.

    Google Scholar 

  35. A.J. Dunlop and I.R. Whitworth, “Adaptive spread spectrum modulation,” Conference on Communications Equipment and Systems, p.183–6, 16–18 April 1980.

    Google Scholar 

  36. C.N. Pateros and G.J. Saulnier, “Adaptive correlator receiver performance iier, Adaptive correlator receive performa spectrum communication,” MILCOM ′9 2-’Communications — Fusing Command, Control and Intelligence’ Conference Record, vol.2, p.427–31, 11–14 October 1992.

    Article  Google Scholar 

  37. C.N. Pateros and G.J. Saulnier, “Interference suppression and multipath mitigation using an adaptive correlator direct sequence spread spectrum receiver,” SUPERCOLMM/ICC ′92. Discovering a New World of Comununications, vol.2, p.662–6, 14–18 June 1992.

    Article  Google Scholar 

  38. T. Ogawa, I. Sasase, and S. Mori, “Suppression of narrow-band interference and multipath by spreadspectrum receiver using decision-feedback filters,” IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, vol.2, p.6736, 9–10 May 1991.

    Google Scholar 

  39. M. Miyagi, T. Ogawa, I. Sasase, and S. Mori, “Suppression of CW interference and filtered noise in QPRS systems using decision-feedback filters,” ICASSP 90. 1990 International Conference on Acoustics, Speech and Signal Processing, vol.3, p.1703–6, 3–6 April 1990.

    Google Scholar 

  40. T. Ogawa, I. Sasase, and S. Mori, “Suppression of CW interference and colored noise in QPSK system using decision-feedback filters,” Transactions of the Institute of Electronics, Information and Communication Engineers E, vol.E72, no.7, p.804–10, July 1989.

    Google Scholar 

  41. M.L. Dukic, Z.D. Stojanovic, and I.S. Stojanovic. “Performance of direct-sequence spread-spectrum receiver using decision feedback and transversal filters for combating narrowband interference,” IEEE Journal on Selected Areas in Conmnunications, vol.8, no.5, p.907–14, June 1990.

    Article  Google Scholar 

  42. M.L. Dukic, Z.D. Stojanovic, I.S. Stojanovic. “A new direct sequence spread spectrum receiver using decision feedback and transversal filters for rejection of the narrow-band interference and errors caused by signal distortion,” NIELECON ′89: Mediterranean Electrotechnical Conference Proceedings. Integrating Research, Industry and Education in Energy and Conmunication Engineering, p.395–8, 11–13 April 1989.

    Google Scholar 

  43. Z.D. Stojanovic, M.L. Dukic, and I.S. Stojanovic, Proceedings fo MELECON ′87: Mediterranean Electrotechnical Conference and 34th COngress on Electronics Joint Conference, March 1987.

    Google Scholar 

  44. M.L. Dukic, D.O. Cuberovic, Z.D. Stojanovic and I.S. Stojanovic. “Performance analysis of DS spreadspectrum receiver using decision feedback and transversal interference suppression filters under multiple narrow-band interference,” Commnunication Systems: Towards Global Integration. Singapore ICCS ′90. Conference Proceedings, vol.2, p. 25–2/1–5, 5–9 Nov. 1990

    Google Scholar 

  45. B. Shah and G.J. Saulnier, “Adaptive jammer suppression using decision feedbac1k in a spread-spectrum receiver,” MILCOM 88. 21st Century Military Communications -What’s Possible? Conference Record. 1988 IEEE Military Communications Conference, vol.3, p.989–95, 23–26 October 1988.

    Article  Google Scholar 

  46. F. Liu and L. Li, “Rejection of finite-bandwidth interference in QPSK system using decision-feedback filters,” IEEE International Conference on Communications ′87: Communications-Sound to Light. Proceedin g s, vol.2. p.879–83, 7–10 June 1987.

    Google Scholar 

  47. F. Takawira and L.B. Milstein, “Narrowband interference rejection in PN spread spectrum communications systems using decision feedback filters,” MILCOM ′86, vol.2, p.20.4/1–5, October 1986.

    Google Scholar 

  48. L. Li and L.B. Milstein, “Rejection of CW Interference in QPSK systems using decision-feedback filters,” IEEE Transactions on Communications, vol. COM-31, no.4, April 1983.

    Google Scholar 

  49. W. Libing, B. Guangguo, and W. Boxiu, “Suppression of FM interference in QAM systems using adaptive decision-feedback filters,” China 1991 International Conference on Circuits and Systems. Conference Proceedings, vol.l, p.161–3, 16–17 June 1991.

    Article  Google Scholar 

  50. A.M.J. Goiser and M.K. Sust, “Adaptive interference rejection for non-coherent digital direct sequence spread spectrum receivers,” GLOBECOM ′90: IEEE Global Telecomnunications Conference and Exhibition. ′Conunications: Connecting the Future’, vol.1, p.285–90, 2–5 Dec. 1990.

    Article  Google Scholar 

  51. A.M.J. Goiser and M.K. Sust, “Adaptive interference rejection in a digital direct sequence spread spectrum receiver,” IEEE Military Communications Conference — MILCOM ′89. Part 2, p. 514–520, 1989

    Google Scholar 

  52. F. Amoroso, “Performance of the Adaptive A/D Converter in Combined CW and Gaussian Interference,” MILCOM, 1984 IEEE.

    Google Scholar 

  53. F. Amoroso, “Adaptive A/D converter to suppress CW interference in DSPN spread spectrum communications,” IEEE Trans. Commun., vol. COM-31, p. 1117–1123, October 1983.

    Article  Google Scholar 

  54. F. Amoroso and J.L. Bricker, “Performance of the adaptive A/D converter in combined CW and Gaussian interference,” IEEE Trans. Commun., vol. COM-34, p. 209–213, March 1986.

    Article  Google Scholar 

  55. F.J. Pergal, “Adaptive threshold A/D conversion techniques for interference rejection in DSPN receiver applications,” in IEEEMilitary Communications Conf., p. 4.7.1–4.7.7, October 1987.

    Google Scholar 

  56. M.B. Pursley, “The role of spread-spectrum in packet radio networks.” Proceedings of the IEEE, vol.75, no.1, p.116–134, January 1987.

    Article  Google Scholar 

  57. S. Verdu, “Minimum probability of error for asynchronous multiple-access channel,” IEEE Trans. on Info. Theory, vol. IT-32, no. 5, p. 642–651, September 1986.

    Article  Google Scholar 

  58. R. Lupas and S. Verdu, “Linear multiuser detectors for synchronous code-division multiple-access channel,” IEEE Trans. Commun., vol.IT-32, no.1, p.85–96, January 1986.

    Google Scholar 

  59. B. Aazhang, B.-P. Paris, and G.C. Orsak, “Neural networks for multi-user detection in code-division multiple-access communications,” IEEE Transactions on Comnunications, vol. 40, no. 7, p. 1212–1222, July 1992.

    Article  MATH  Google Scholar 

  60. P.N. Monogioudis, R. Tafazolli, and B.G. Evans, “Linear adaptive fractionally spaced equalization of CDMA multiple-access interference,” Electronics Letters, vol.29, no.21, p.1823–5, 14 Oct. 1993.

    Article  Google Scholar 

  61. M.E. Davis and L.B. Milstein, “Anti-jamming properties of a DS-CDMA equalization filter,” Proceedings of the 12th Annual IEEE Military Communications Conference, vol.3, p 1008–1012, 1993.

    Article  Google Scholar 

  62. P.B. Rapajic and B.S. Vucetic, “Linear adaptive fractionally spaced single user receiver for asynchronous CDMA systems,” Proceedings of the 1993 IEEE International Symposium on Information Theory, p 45, 1993.

    Google Scholar 

  63. M. Abjulrahman, D.D. Falconer. and A.U.H. Sheikh. “Equalization for Interference Cancellation in Spread Spectrum Multiple Access Systems,” Proceedings VTC, May 1992.

    Google Scholar 

  64. U. Madhow and M. Honig. “Error probability and near-far resistance of minimum mean squared error interference suppression schemes for CDMA.” GLOBECOAf ′92. Comununication for Global Users. IEEE Global Telecommunications Conference. Conference Record, vol.3, p.1339–43, 6–9 December 1992.

    Article  Google Scholar 

  65. U. Madhow and M.L. Honig. “Minimum mean squared error interference suppression for direct-sequence spread-spectrum code-division multiple-access,” ICUPC ′92 Proceedings, p.10.04/1–5, 29 Sept.-1 Oct. 1992.

    Google Scholar 

  66. R.D. Holley and J.H. Reed. “Time dependent adaptive filters for interference cancellation in CDMA systems,” unpublished master’s thesis, Mobile & Portable Radio Research Group (MPRG-TR-93–15A), Bradley Department of Electrical Engineering, Virginia Polytechnic Institute and State University, October 1993.

    Google Scholar 

  67. V. Aue and J.H. Reed, “CDMA demodulation and interference rejection using an optimal time-dependent filter,” unpublished master’s thesis, Mobile & Portable Radio Research Group, Bradley Department of Electrical Eneineerine, Virginia Polytechnic Institute and State University, February 1994.

    Google Scholar 

  68. M.K. Varansi and B. Aazhang, “Multi-stage detection in asynchronous code-division multiple-access communications,” IEEE Trans. on Conm., vol. COM-38, no. 4, p. 509–519. April 1990.

    Article  Google Scholar 

  69. V. Bais, “Improved receiver design for CDMA systems.” MPRG Technical Report, Virginia Polytechnic Institute and State University, June 1993.

    Google Scholar 

  70. M. Kawabe, T. Kato, A. Kawahashi, T. Sato. and A. Fukasawa, “Advanced CDMA scheme based on interference cancellation,” IEEE Vehicular Technology Conference 1993, p.448–451, 1993.

    Google Scholar 

  71. S.S.H. Wijayasuriya, J.P. McGeehan, and G.H. Norton. “RAKE decorrelation as an alternative to rapid power control in DS-CDMA mobile radio,” IEEE Vehicular Technology Conference (VTC), Piscataway, NT May 1993

    Google Scholar 

  72. S. Striglis, A. Kaul, N. Yang, and B. Woerner, “A multi-stage RAKE receiver for improved CDMA performance,” IEEE Vehicular Technologv Conference (VTC), May 1994.

    Google Scholar 

  73. P. Patel and J.M. Holtzman, “Analysis of DS /CDMA successive interference cancellation scheme using correlation,” GLOBECOM ′93, December 1993.

    Google Scholar 

  74. R. Kohno, H. Imai, M. Hatori, and S. Pasupathy, “An adaptive canceller of cochannel interference for spread-spectrum multiple-access communication networks in a power line,” IEEE Journal on Selected Areas in Comnunications, vol. 8, no. 4, May 1990.

    Google Scholar 

  75. R.S. Mowbray, R.D. Pringle, and P.M. Grant. “Increased CDMA system capacity through adaptive cochannel interference regeneration and cancellation,” IEE Proceedings I (Communications, Speech and Vision), vol.139, no.5, p.515–24, October 1992.

    Article  Google Scholar 

  76. R.S. Mowbray, R.D. Pringle. and P.M. Grant. “Adaptive CDMA cochannel interference cancellation,” Signal Processing VI — Theories and Applications. Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, vol. 3, p.1591–4, 24–27 August 1992.

    Google Scholar 

  77. S.G. Glisic and M.D. Pajkovic, “Rejection of FHMA signal in DS spread spectrum system using complex adaptive filtering,” Nilitary Communications in a Changing World MILCOM, 91. Conference Record, vol.1, p.365–9, 4–7 Nov. 1991.

    Article  Google Scholar 

  78. S.G. Glisic and M.D. Pajkovic, “Rejection of FHMA signal in DS spread spectrum system using complex adaptive filtering,” dILCOM 90. A New Era. 1990 IEEE Military Coanmunications Conference. Conference Record, vol.1, p.349–53. October 1990.

    Google Scholar 

  79. R.A. Iltis, “Interference cancellation for enhanced detection of frequency-hopped signals,” ICASSP 86 (Toyko), vol.2, p. 973–976, April 1986.

    Google Scholar 

  80. J.H. Reed and B. Agee, “A maximum-likelihood approach to detecting frequency hopping spread spectrum signals,” 1992.4silommar Conference on Signals, Systems, and Computers, 1992.

    Google Scholar 

  81. F.A. Bishop and R.S. Leahy, “Enhancement of frequency hopped signals by convergence bandwidth discrimination,” 1985 IEEE Military Conunications Conference: MILCOM ′85. Conference Record, vol.2, p.334–8, 20–23 Oct. 1985.

    Google Scholar 

  82. T.A. Gulliver, “Order Statistics Diversity Combining in Worst Case Noise and Multitone Jamming,” MILCOM91, vol.1, p. 385–389, November 1991.

    Google Scholar 

  83. L.M. Garth and H.V. Poor, “Narrowband interference suppression in impulsive channels,” IEEE Transactions on Aerospace and Electronic Systems, vol.28, no. 1. p.15–34 January 1992

    Article  Google Scholar 

  84. R. Vijayan. and H.V.H. V. Poor, “A new approach to interference suppression in spread-spectrum systems,” Military Communications in a Changing World MILCOM, 91. Conference Record, vol.1, p.375–9, 4–7 November. 1991.

    Google Scholar 

  85. R. Vijayan and H.V. Poor, “Nonlinear techniques for interference suppression in spread-spectrum systems,” IEEE Transactions on Conmunications, vol.38, no.7, p.1060–5, July 1990.

    Article  Google Scholar 

  86. F. Dominique and F. Joseph, “Frequency domain median filtering for narrow band interference rejection in BPSK-PN signals,” IEEE TENCON ′93, 1993.

    Google Scholar 

  87. J.H. Higbie, “Adaptive nonlinear suppression of interference,” MILCOM 88: 21st Century Military Communications — What’s Possible?, (San Diego, CA), p 381–389, 1988.

    Google Scholar 

  88. O.W. Kwon, C.K. Un, and J.C. Lee, “Performance of constant modulus adaptive digital filters for interference cancellation,” Signal Processing, vol.26, no.2, p.185–96, February 1992.

    Article  MATH  Google Scholar 

  89. M.J. Rude and L.J. Griffiths, “An untrained, fractionally-spaced equalizer for co-channel interference environments.” Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, vol.1, p.468–72, 5–7 November 1990.

    Google Scholar 

  90. E.R. Ferrara, Jr., “A method for canceling interference from a constant envelope signal,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol.ASSP-33, no.l. p.316–19, February 1985

    Article  Google Scholar 

  91. R.P. Gooch and B. Daellenbach, “Prevention of interference capture in a blind (CMA-based) adaptive receive filter,” Twenty-Third Asilomar Conference on Signals, Systems andsComputers, vol.2, p.898–902, November 1989.

    Google Scholar 

  92. E.H. Satorius, S. Krishnan, X. Yu, L.J. Griffiths, I.S. Reed, and T. Truong, “Suppression of narrowband interference via single channel adaptive preprocessing,” Twventy-Second Asilonar Conference on Signals, Systems and Computers, vol. 1. p.270–3, November 1988.

    Article  Google Scholar 

  93. I. Howitt, J.H. Reed, V. Vemuri, and T.C. Hsia, “Recent Developments in Applying Neural Nets to Equalization and Interference Rejection,” Virginia Tech’s Third Symposium on Wireless Personal Communications. Proceedings, June 1993.

    Google Scholar 

  94. Zengjun Xiang and Guangguo Bi, “Fractionally spaced decision feedback multilayer perceptron for adaptive MQAM digital mobile radio reception,” SUPERCOMM/ICC ′92. Discovering a New World of Conmunications, vol.3, p.1262–6, 14–18 June 1992.

    Article  Google Scholar 

  95. Zengjun Xiang and Guangguo Bi, “Complex neuron model with its applications to M-QAM data communications in the presence of co-channel interferences,” ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2. p.305–8, 23–26 March 1992.

    Article  Google Scholar 

  96. R. Bijjani and P.K. Das, “Rejection of narrowband interference in PN spread-spectrum systems using neural networks,” GLOBECOM ′90: IEEE Global Telecomnmunications Conference and Exhibition. ′Communications: Connecting the Future’, vol.2. p.1037–41. 2–5 Dec. 1990.

    Article  Google Scholar 

  97. S. Chen and B. Mulgrew, “Overcoming co-channel interference using an adaptive radial basis function equalizer,” Signal Processing, vol. 28, p. 91–107, 1992.

    Article  Google Scholar 

  98. I. Cha and S.A. Kassam, “Interference cancellation using radial basis function networks,” IEEE Sixth SP Workshop on Statistical Signal and Array Processing Conference Proceedin g s, p.221–4, 7–9 Oct 1992

    Google Scholar 

  99. I. Howitt, J.H. Reed, R. Vemuri, T.C. Hsia. “RBF growing algorithm applied to the equalization and cochannel interference rejection problem,” IEEE World Congress on Computational Intelligence /International Conference on Neural Netwvorks, June 26 — July 2, 1994, Orlando, Florida.

    Google Scholar 

  100. G.B. Giannakis and A.V. Dandawate. “Linear and non-linear adaptive noise cancelers,” ICASSP 90. 1990 International Conference on Acoustics, Speech and Signal Processing, vol.3, p.1373–6, 3–6 April 1990

    Google Scholar 

  101. V.G. Valeev and A.A. Yazovskii, “Adaptive nonlinear converters for suppression of non-Gaussian interference,” Radioelectronics and Counication Systems, vol.30, no.8, p.60–3, 1987.

    Google Scholar 

  102. M. Maulhardt, A.M. Davis, and J. May, “Numerical design of nonlinear adaptive filters,” ICASSP 86 . IEEE-IECEJASJ International Conference on Acoustics, Speech and Signal Processing, Proceedings vol.3, p.2131–4, 7–11 April 1986.

    Article  Google Scholar 

  103. W.A. Gardner and S. Venkataraman, “Performance of optimum and adaptive frequency-shift filters for cochannel interference and fading,” Conference Record. Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, vol.1, p.242–7. 5–7 Nov. 1990.

    Google Scholar 

  104. W.A. Gardner and W.A. Brown, “Frequency-shift filtering theory for adaptive co-channel interference removal,” Twenty-Third .4silomar Conference on Signals, Systems ands Computers, vol.2, p.562–7, November 1989.

    Google Scholar 

  105. W.A. Garner, “Cyclic Wiener filtering: theory and method,” IEEE Transactions on Communications, vol. 41 , no. 1 n. 151–163. January. 1993.

    Article  Google Scholar 

  106. F. Hendessi, H.M. Hafez, and A.U.H. Sheikh. “Structure and performance of FRESH-decision feedback equalizer in the presence of adjacent channel interference,” Proceedings of the 43rd IEEE Vehicular Technology Conference, p 641–644, 1993.

    Google Scholar 

  107. R. Mendoza, J.H. Reed, T.C. Hsia, and B.G. Agee. “Interference rejection using the time-dependent constant modulus algorithm (CMA) and the hybrid CMA/spectral correlation discriminator,” IEEE Transactions on Signal Processing, vol. 39, no. 9, September 1991.

    Google Scholar 

  108. J. H. Reed and T. C. Hsia, “The performance of time-dependent adaptive filters for interference rejection,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, no. 8, August 1990.

    Google Scholar 

  109. C. D. Greene, J. H. Reed, and T. C Hsia, “An optimal receiver using a time -dependent adaptive filter,” MILCOM 1989, 1989.

    Google Scholar 

  110. J. J. Nicolas and J. S. Lim, “Equalization and interference rejection for the terrestrial broadcast of digital HDTV,” Research Laboratory of Electronics, MIT, 1993.

    Google Scholar 

  111. D.C. Shin and C.L. Nikias, “Adaptive noise canceler for narrowband/wideband interferences using higher-order statistics,” 1993 IEEE International Conference on Acoustics, Speech and Signal Processing, v 3, p. 111.364–366, 1993.

    Google Scholar 

  112. Y. Bar-Ness and B.H. Yeheskel: Bunin, “Adaptive co-channel interference cancellation and signal separation method,” IEEE International Conference on Communications — ICC’89, p 825–830, 11–14 June 1989

    Google Scholar 

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© 1995 Springer Science+Business Media Dordrecht

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Laster, J.D., Reed, J.H. (1995). A Survey of Adaptive Single Channel Interference Rejection Techniques for Wireless Communications. In: Woerner, B.D., Rappaport, T.S., Reed, J.H. (eds) Wireless Personal Communications. The Springer International Series in Engineering and Computer Science, vol 309. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2368-7_2

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