Time-Frequency Receivers for Nonstationary Interference Excision in Spread Spectrum Communication Systems

Abstract : Time-Frequency distribution are being recognized as powerful tools in signal analysis and processing. Although time-frequency analysis has been of interest for some-time, several advances in recent years have broaden its application areas to include both civilian and military use. The capability of the time-frequency distributions to properly represent multiple component signals in time and frequency permits the development of new and efficient approaches for interference excision in direct sequence spread spectrum communication systems. This report addresses techniques for mitigating nonstationary interference in spread spectrum communication systems; and fast algorithms and efficient realizations of excision techniques based on time-frequency distributions. The scope of this effort is to develop technology to immunize the spread spectrum communication systems to smart jamming and demonstrate the ability to yield improved receiver performance in a highly nonstationary interference environment. This is achieved by utilizing the jammer temporal, spectral, and spatial characteristics to provide accurate and sufficient information leading to its full and effective excision.

[1]  O. L. Frost,et al.  An algorithm for linearly constrained adaptive array processing , 1972 .

[2]  T. Parks,et al.  A program for the design of linear phase finite impulse response digital filters , 1972 .

[3]  J.B. Allen,et al.  A unified approach to short-time Fourier analysis and synthesis , 1977, Proceedings of the IEEE.

[4]  F. Hsu,et al.  Digital Whitening Techniques for Improving Spread Spectrum Communications Performance in the Presence of Narrowband Jamming and Interference , 1978, IEEE Trans. Commun..

[5]  Peter Craven,et al.  Smoothing noisy data with spline functions , 1978 .

[6]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[7]  L. Milstein,et al.  An Analysis of a Real-Time Transform Domain Filtering Digital Communication System - Part I: Narrow-Band Interference Rejection , 1980, IEEE Transactions on Communications.

[8]  John G. Proakis,et al.  Adaptive Algorithms for Estimating and Suppressing Narrow-Band Interference in PN Spread-Spectrum Systems , 1982, IEEE Trans. Commun..

[9]  L. Milstein,et al.  An Analysis of a Real-Time Transform Domain Filtering Digital Communication System - Part II: Wide-Band Interference Rejection , 1983, IEEE Transactions on Communications.

[10]  Thomas Kailath,et al.  Adaptive beamforming for coherent signals and interference , 1985, IEEE Trans. Acoust. Speech Signal Process..

[11]  Christian Jutten,et al.  Detection de grandeurs primitives dans un message composite par une architecture de calcul neuromime , 1985 .

[12]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[13]  L. Milstein,et al.  Signal processing for interference rejection in spread spectrum communications , 1986, IEEE ASSP Magazine.

[14]  Thomas W. Parks,et al.  Time-varying filtering and signal estimation using Wigner distribution synthesis techniques , 1986, IEEE Trans. Acoust. Speech Signal Process..

[15]  L. B. Milstein,et al.  Interference rejection techniques in spread spectrum communications , 1988, Proc. IEEE.

[16]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[17]  Guy Demoment,et al.  Image reconstruction and restoration: overview of common estimation structures and problems , 1989, IEEE Trans. Acoust. Speech Signal Process..

[18]  William J. Williams,et al.  Improved time-frequency representation of multicomponent signals using exponential kernels , 1989, IEEE Trans. Acoust. Speech Signal Process..

[19]  Aju J. Fenn.  Near-field testing of adaptive radar systems , 1990 .

[20]  Robert J. Marks,et al.  The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals , 1990, IEEE Trans. Acoust. Speech Signal Process..

[21]  B. Mulgrew,et al.  Analysis of the theoretical radar return signal form aircraft propeller blades , 1990, IEEE International Conference on Radar.

[22]  Lang Tong,et al.  BLIND ESTIMATION OF CORRELATED SOURCE SIGNALS , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

[23]  C. Berrah.  Parametric yield estimation for a MOSFET integrated circuit , 1990, IEEE International Symposium on Circuits and Systems.

[24]  Douglas L. Jones,et al.  A high resolution data-adaptive time-frequency representation , 1990, IEEE Trans. Acoust. Speech Signal Process..

[25]  William J. Williams,et al.  Uncertainty, information, and time-frequency distributions , 1991, Optics & Photonics.

[26]  José Manuel Páez-Borrallo,et al.  A general approach to the automatic classification of radiocommunication signals , 1991, Signal Process..

[27]  Olivier Rioul,et al.  Time-scale energy distributions: a general class extending wavelet transforms , 1992, IEEE Trans. Signal Process..

[28]  L. Godara.  Beamforming in the presence of broadband correlated arrivals , 1992 .

[29]  Werner Krattenthaler,et al.  Bilinear signal synthesis , 1992, IEEE Trans. Signal Process..

[30]  F. Hlawatsch,et al.  Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.

[31]  Jechang Jeong,et al.  Kernel design for reduced interference distributions , 1992, IEEE Trans. Signal Process..

[32]  Antonia Papandreou-Suppappola,et al.  The hyperbolic class of quadratic time-frequency representations. I. Constant-Q warping, the hyperbolic paradigm, properties, and members , 1993, IEEE Trans. Signal Process..

[33]  J. Cardoso,et al.  An efficient technique for the blind separation of complex sources , 1993, [1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics.

[34]  Douglas L. Jones,et al.  A signal-dependent time-frequency representation: optimal kernel design , 1993, IEEE Trans. Signal Process..

[35]  Boualem Boashash,et al.  Kernel design for time-frequency signal analysis using the Radon transform , 1993, IEEE Trans. Signal Process..

[36]  E. J. Holder,et al.  The application of two-dimensional wavelets and filterbanks for convergence enhancement in adaptive arrays for space communications , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[37]  Eric Moreau,et al.  New self-adaptative algorithms for source separation based on contrast functions , 1993, [1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics.

[38]  Shiunn‐Jang Chern,et al.  The transformed domain hybrid adaptive beamformer for multiple jammers suppression , 1994 .

[39]  H. E. Green.  Electromagnetic backscattering from a helicopter rotor in the decametric wave band regime , 1994 .

[40]  A. Haimovich,et al.  Rejection of narrow-band interferences in PN spread spectrum systems using an eigenanalysis approach , 1994, Proceedings of MILCOM '94.

[41]  Pierre Comon,et al.  Independent component analysis, A new concept? , 1994, Signal Process..

[42]  Douglas L. Jones,et al.  A simple scheme for adapting time-frequency representations , 1994, IEEE Trans. Signal Process..

[43]  Gary J. Saulnier,et al.  Applications of the wavelet transform in spread spectrum communications systems , 1994, Defense, Security, and Sensing.

[44]  Richard Baraniuk,et al.  On joint distributions for arbitrary variables , 1995, IEEE Signal Processing Letters.

[45]  Ali N. Akansu,et al.  Adaptive subband transforms in time-frequency excisers for DSSS communications systems , 1995, IEEE Trans. Signal Process..

[46]  Moeness G. Amin,et al.  Minimum-variance time-frequency distribution kernels , 1995, IEEE Trans. Signal Process..

[47]  M. Amin,et al.  Short-time Fourier transforms using cascade filter structures , 1995 .

[48]  Mohamed Najim,et al.  On the convergence enhancment of the wavelet transform based LMS , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[49]  M.G. Amin,et al.  Linear vs. bilinear time-frequency methods for interference mitigation in direct sequence spread spectrum communication systems , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[50]  A. C. Kot,et al.  Suppression of strong narrowband interference using an eigen-structure-based algorithm , 1995, Proceedings of MILCOM '95.

[51]  Douglas L. Jones,et al.  Unitary equivalence: a new twist on signal processing , 1995, IEEE Trans. Signal Process..

[52]  Kiyotoshi Matsuoka,et al.  A neural net for blind separation of nonstationary signals , 1995, Neural Networks.

[53]  Kung Yao,et al.  Optimization and performance of broadband microphone arrays , 1995, Optics & Photonics.

[54]  Xiaodong Wang,et al.  Adaptive suppression of narrowband digital interferers from spread spectrum signals , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[55]  Chenshu Wang,et al.  PERFORMANCE ANALYSIS OF INTERFERENCE EXCISIONS IN SPREAD SPECTRUM COMMUNICATIONS BASED ON INSTANTANEOUS FREQUENCY ESTIMATION , 1996 .

[56]  S. Qian,et al.  Joint time-frequency analysis : methods and applications , 1996 .

[57]  Moeness G. Amin,et al.  New approach for blind source separation using time-frequency distributions , 1996, Optics & Photonics.

[58]  A. Belouchrani,et al.  Interference mitigation in spread spectrum communications using blind source separation , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

[59]  Leslie A. Rusch,et al.  A subspace approach to adaptive narrow-band interference suppression in DSSS , 1997, IEEE Trans. Commun..

[60]  Eric Moulines,et al.  A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..

[61]  Douglas L. Jones,et al.  Spread spectrum interference suppression using adaptive time-frequency tilings , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[62]  Moeness G. Amin,et al.  Blind source separation using time-frequency distributions: algorithm and asymptotic performance , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[63]  M. Amin,et al.  Recursive Fourier transform for interference suppression in PN spread spectrum communications , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[64]  Moeness G. Amin.  Interference mitigation in spread spectrum communication systems using time-frequency distributions , 1997, IEEE Trans. Signal Process..

[65]  Jeffrey H. Reed,et al.  Interference rejection in digital wireless communications , 1997, IEEE Signal Process. Mag..

[66]  Chenshu Wang,et al.  Performance analysis of instantaneous frequency-based interference excision techniques in spread spectrum communications , 1998, IEEE Trans. Signal Process..

[67]  Moeness G. Amin,et al.  Blind source separation based on time-frequency signal representations , 1998, IEEE Trans. Signal Process..

[68]  Moeness G. Amin,et al.  High spectral resolution time-frequency distribution kernels , 1998, IEEE Trans. Signal Process..

[69]  Ali N. Akansu,et al.  A novel time-frequency exciser in spread spectrum communications for chirp-like interference , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[70]  M.G. Amin,et al.  Nonstationary interference excision in spread spectrum communications using projection filtering methods , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[71]  M. G. Amin,et al.  Performance analysis of the DS/SS communications receiver implementing a short time Fourier transform interference excision system , 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

[72]  Alan R. Lindsey,et al.  Broadband nonstationary interference excision for spread spectrum communications using time-frequency synthesis , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[73]  Chenshu Wang,et al.  Optimum interference excision in spread spectrum communications using open-loop adaptive filters , 1999, IEEE Trans. Signal Process..