Two-sensor blind beamformer for direct sequence spread spectrum communications

This paper presents an efficient blind beamformer dedicated to the problem of interference mitigation in direct sequence spread spectrum (DS-SS) communications systems using a two-sensor array. A closed form solution for the blind identification of the communication channel is derived by exploiting the temporal properties of the desired signal and the interference. Three structures of the DS-SS receiver are presented. One structure consists of the blind beamformer followed by the spread spectrum demodulator, the two other structures consist of the spread spectrum demodulator followed by the blind beamformer. Simulation results are provided to illustrate the effectiveness of the proposed algorithms.

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

[2]  Bjorn Ottersten,et al.  Array processing for wireless communications , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

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

[4]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

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

[6]  Laurence B. Milstein,et al.  Spread-Spectrum Communications , 1983 .

[7]  Ayman Fawzy Naguib,et al.  Adaptive antennas for CDMA wireless networks , 1996 .

[8]  L. Godara.  Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

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

[10]  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.

[11]  Karim Abed-Meraim,et al.  Constant Modulus Blihtd Source Separation Technique: a New Approach , 1996, Fourth International Symposium on Signal Processing and Its Applications.

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

[13]  P. Comon.  Independent Component Analysis , 1992 .

[14]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[15]  Simon Haykin,et al.  Adaptive radar detection and estimation , 1992 .

[16]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

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

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