Broadband nonstationary interference excision for spread spectrum communications using time-frequency synthesis

A new method is introduced for interference excision in spread spectrum communications. Time-frequency synthesis techniques are used to synthesize the nonstationary jammer from the time-frequency domain using least-squares methods. The synthesized jammer is then subtracted from the incoming data in the time domain, leading to increased signal to interference ratio at the input of the correlator. The paper focuses on jammers with constant modulus where the jamming signal is a polynomial phase. With this a priori knowledge, the jammer signal amplitude is restored by projecting each sample of the synthesized signal to a circle representing its constant modulus. With the phase matching provided by the least-squares synthesis method and amplitude matching underlying the projection operation, the paper shows a significant improvement in receiver performance/bit error rates over the case where no projection is performed.

[1]  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.

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

[3]  Chenshu Wang,et al.  On the application of time-frequency distributions in the excision of pulse jamming in spread spectrum communication systems , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

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

[5]  H. Vincent Poor,et al.  Blind Adaptive Suppression of Narrowband Digital Interferers from Spread Spectrum Signals , 1998, Wirel. Pers. Commun..

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

[7]  Anna Scaglione,et al.  Adaptive suppression of wideband interferences in spread-spectrum communications using the Wigner-Hough transform , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  H. Vincent Poor,et al.  Blind adaptive multiuser detection in multipath CDMA channels based on subspace tracking , 1998, IEEE Trans. Signal Process..

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

[10]  T. Claasen,et al.  THE WIGNER DISTRIBUTION - A TOOL FOR TIME-FREQUENCY SIGNAL ANALYSIS , 1980 .