CDMA downlink interference suppression using I/Q projection

Interference suppression at the receiver can be used to improve performance and capacity in the downlink of direct-sequence code-division multiple-access systems. In this paper, an interference suppression technique is developed which uses partial knowledge of spreading sequences to cancel a group of interfering signals. Specifically, knowledge of a complex scrambling sequence is used to project the desired signal away from the interference in the in-phase/quadrature (I/Q) complex plane. A maximum likelihood receiver formulation is used, treating both the desired signal and interference as being conditionally noncircular. A zero-forcing equalization approach is used to preserve orthogonality between signals from the same base station. The development of the technique is based on the assumption that the group of signals corresponds to another base station that does not transmit the signal of interest. However, the technique is also applied to the path diversity scenario (dispersion, soft handoff, transmit delay diversity), in which the group of interfering signals includes a desired signal component. The approach, referred to as I/Q projection, provides significant gains when performance is interference limited.

[1]  Anne Ferréol,et al.  On the behavior of current second and higher order blind source separation methods for cyclostationary sources , 2000, IEEE Trans. Signal Process..

[2]  Pascal Chevalier,et al.  Optimal array processing for non-stationary signals , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[3]  Jeffrey H. Reed,et al.  An interference robust CDMA demodulator that uses spectral correlation properties , 1994, Proceedings of IEEE Vehicular Technology Conference (VTC).

[4]  Pascal Bondon,et al.  Second-order statistics of complex signals , 1997, IEEE Trans. Signal Process..

[5]  D. Slock,et al.  Blind subspace identification of a BPSK communication channel , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

[6]  Pascal Chevalier,et al.  Widely linear estimation with complex data , 1995, IEEE Trans. Signal Process..

[7]  Bernard C. Picinbono,et al.  Second-order complex random vectors and normal distributions , 1996, IEEE Trans. Signal Process..

[8]  William A. Gardner,et al.  Cyclic Wiener filtering: theory and method , 1993, IEEE Trans. Commun..

[9]  Tat-Ming Lok,et al.  Asynchronous multiple-access interference suppression and chip waveform selection with aperiodic random sequences , 1999, IEEE Trans. Commun..

[10]  John G. Proakis,et al.  Digital Communications , 1983 .

[11]  Harry Leib,et al.  Maximizing SNR in improper complex noise and applications to CDMA , 1997, IEEE Communications Letters.

[12]  Antonia Maria Tulino,et al.  A new family of MMSE multiuser receivers for interference suppression in DS/CDMA systems employing BPSK modulation , 2001, IEEE Trans. Commun..

[13]  James L. Massey,et al.  Proper complex random processes with applications to information theory , 1993, IEEE Trans. Inf. Theory.

[14]  Dirk T. M. Slock,et al.  An interference cancelling multichannel matched filter , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[15]  Bernard C. Picinbono,et al.  On circularity , 1994, IEEE Trans. Signal Process..

[16]  J. Galy,et al.  Canonical correlation analysis: a blind source separation using non-circularity , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

[17]  Jeffrey H. Reed,et al.  Adaptive single-user receivers for direct-sequence spread-spectrum CDMA systems , 2000, IEEE Trans. Veh. Technol..

[18]  Antonia Maria Tulino,et al.  Partially blind adaptive MMSE interference rejection in asynchronous DS/CDMA networks over frequency-selective fading channels , 2001, IEEE Trans. Commun..

[19]  William M. Brown,et al.  Conjugate linear filtering , 1969, IEEE Trans. Inf. Theory.

[20]  Giacinto Gelli,et al.  Blind widely linear multiuser detection , 2000, IEEE Communications Letters.

[21]  Pascal Chevalier,et al.  Complex linear-quadratic systems for detection and array processing , 1996, IEEE Trans. Signal Process..

[22]  J. Galy,et al.  Blind separation of non-circular sources , 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).

[23]  Giacinto Gelli,et al.  Blind LPTV joint equalization and interference suppression , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[24]  Stephan V. Schell A separability theorem for 2M conjugate-symmetric signals impinging on an M-element sensor array , 1997, IEEE Trans. Signal Process..

[25]  Antonia Maria Tulino,et al.  Cyclostationarity-based filtering for narrowband interference suppression in direct-sequence spread-spectrum systems , 1998, IEEE J. Sel. Areas Commun..

[26]  Dirk T. M. Slock,et al.  Cochannel interference cancellation within the current GSM standard , 1998, ICUPC '98. IEEE 1998 International Conference on Universal Personal Communications. Conference Proceedings (Cat. No.98TH8384).

[27]  Gregory E. Bottomley,et al.  Generalized RAKE reception for cancelling interference from multiple base stations , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[28]  Douglas B. Williams,et al.  On resolving 2M-1 narrow-band signals with an M sensor uniform linear array , 1992, IEEE Trans. Signal Process..