Adaptive rank-one receiver for GSM/DCS systems

In mobile communication systems the space-time (S-T) channel matrix at the base station (BS) can be parameterized by a reduced set of unknowns with negligible distortion. In this correspondence, it is proposed to estimate the S-T channel under the constraint that the channel matrix is low-rank (the rank of the matrix accounts for the degrees of space and/or time diversity in the S-T channel). Low-rank properties of the S-T channel for a GSM/DCS system (rank is /spl les/2), prompted us to adapt the reduced-rank method for linear regression to estimate a rank-one channel. The proposed estimates coincide (or converge) with the maximum-likelihood (ML) approach when the training sequence is uncorrelated (or when the transmitted symbols are independent, i.e., in stochastic optimization). The beamforming weights and temporal channel are estimated jointly to reduce both cochannel interference (CCI) and intersymbol interference (ISI). The proposed receiver is easily adapted to the front-end architecture of the existing BS with minor modifications. The adaptive version of the algorithm is based on direct matrix inversion, guaranteeing convergence within a GSM burst and tracking time-varying channel and/or asynchronous interference.

[1]  P. Vila,et al.  Joint spatial and temporal equalization for channels with ISI and CCI-theoretical and experimental results for a base station reception , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

[2]  Nambi Seshadri,et al.  Joint data and channel estimation using blind trellis search techniques , 1994, IEEE Trans. Commun..

[3]  Erik Lindskog.  Space-time processing and equalization for wireless communications , 1999 .

[4]  Gregory E. Bottomley,et al.  Adaptive arrays and MLSE equalization , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[5]  Enrico Del Re,et al.  A continuously adaptive MLSE receiver for mobile communications: algorithm and performance , 1997, IEEE Trans. Commun..

[6]  Bo Wahlberg,et al.  An adaptive array for mobile communication systems , 1991 .

[7]  T. Kailath,et al.  Generalized Displacement Structure for Block-Toeplitz,Toeplitz-Block, and Toeplitz-Derived Matrices , 1994 .

[8]  Gordon L. Stuber,et al.  Principles of Mobile Communication , 1996 .

[9]  S. Kung,et al.  VLSI Array processors , 1985, IEEE ASSP Magazine.

[10]  Umberto Spagnolini,et al.  Multiuser space-time channel estimation for CDMA under reduced-rank constraint , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[11]  M.A. Lagunas,et al.  Joint beamforming and Viterbi equalizer in wireless communications , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[12]  Jack Salz,et al.  Optimum diversity combining and equalization in digital data transmission with applications to cellular mobile radio. I. Theoretical considerations , 1992, IEEE Trans. Commun..

[13]  Petre Stoica,et al.  Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions , 1996, IEEE Trans. Signal Process..

[14]  Jiunn-Tsair Chen,et al.  A two-stage hybrid approach for CCI/ISI reduction with space-time processing , 1997, IEEE Communications Letters.

[15]  J. P. McGeehan,et al.  The performance enhancement of multibeam adaptive base-station antennas for cellular land mobile radio systems , 1990 .

[16]  Peter Jung.  Laurent's representation of binary digital continuous phase modulated signals with modulation index 1/2 revisited , 1994, IEEE Trans. Commun..

[17]  Arogyaswami Paulraj,et al.  Space-time processing for wireless communications , 1997 .

[18]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[19]  Umberto Spagnolini,et al.  Variable rank receiver structures for low-rank space-time channels , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[20]  D. Falconer,et al.  Least sum of squared errors (LSSE) channel estimation , 1991 .

[21]  J.H. Winters,et al.  Optimum combining in digital mobile radio with cochannel interference , 1984, IEEE Transactions on Vehicular Technology.

[22]  Umberto Spagnolini,et al.  Analysis of the spectral efficiency of a fully adaptive antenna array system in GSM/DCS networks , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[23]  Ghassan Kawas Kaleh,et al.  Simple coherent receivers for partial response continuous phase modulation , 1989, IEEE J. Sel. Areas Commun..

[24]  Louis L. Scharf,et al.  The SVD and reduced rank signal processing , 1991, Signal Process..

[25]  Klaus I. Pedersen,et al.  Dual-polarized model of outdoor propagation environments for adaptive antennas , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).