Multi-Branch MMSE Decision Feedback Detection Algorithms with Error Propagation Mitigation for Multi-Antenna Systems

In this work we propose novel decision feedback (DF) detection algorithms with error propagation mitigation capabilities for multi-input multi-output (MIMO) spatial multiplexing systems based on multiple processing branches. The novel strategies for detection exploit different patterns, orderings and constraints for the design of the feedforward and feedback filters. We present constrained minimum mean-squared error (MMSE) filters designed with constraints on the shape and magnitude of the feedback filters for the multi-branch MIMO receivers and show that the proposed MMSE design does not require a significant additional complexity over the single-branch MMSE design. The proposed multi-branch MMSE DF detectors are compared with several existing detectors and are shown to achieve a performance close to the optimal maximum likelihood detector while requiring significantly lower complexity.

[1]  Michael L. Honig,et al.  Minimum mean-squared error multiuser decision-feedback detectors for DS-CDMA , 2002, IEEE Trans. Commun..

[2]  Rodrigo C. de Lamare,et al.  Minimum Mean-Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems , 2008, IEEE Trans. Commun..

[3]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[4]  Dirk Wübben,et al.  Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[5]  Reinaldo A. Valenzuela,et al.  Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture , 1999 .

[6]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[7]  Alexandra Duel-Hallen,et al.  Equalizers for Multiple Input/Multiple Output Channels and PAM Systems with Cyclostationary Input Sequences , 1992, IEEE J. Sel. Areas Commun..

[8]  R. Sampaio-Neto,et al.  Adaptive MBER decision feedback multiuser receivers in frequency selective fading channels , 2003, IEEE Communications Letters.

[9]  Ali H. Sayed,et al.  The finite-length multi-input multi-output MMSE-DFE , 2000, IEEE Trans. Signal Process..

[10]  Are Hjørungnes,et al.  Joint iterative interference cancellation and parameter estimation for cdma systems , 2007, IEEE Communications Letters.

[11]  James R. Zeidler,et al.  Mitigating error propagation effects in a decision feedback equalizer , 2001, IEEE Trans. Commun..

[12]  Gerhard Bauch,et al.  Cholesky Factorization With Symmetric Permutation Applied to Detecting and Precoding Spatially Multiplexed Data Streams , 2007, IEEE Transactions on Signal Processing.

[13]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[14]  Wai Ho Mow,et al.  Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection , 2009, IEEE Transactions on Signal Processing.