An Efficient Soft-Output MIMO Detection Method Based on a Multiple-Channel-Ordering Technique

In this paper, we propose an efficient soft-output signal detection method for spatially multiplexed multiple-input multiple-output (MIMO) systems. The proposed method is based on the ordered successive interference cancellation (OSIC) algorithm, but it significantly improves the performance of the original OSIC algorithm by solving the error propagation problem. The proposed method combines this enhanced OSIC algorithm with a multiple-channel-ordering technique in a very efficient way. As a result, the log likelihood ratio values can be computed by using a very small set of candidate symbol vectors. The proposed method has been synthesized with a 0.13-μm CMOS technology for a 4×4 16-QAM MIMO system. The simulation and implementation results show that the proposed detector provides a very good solution in terms of performance and hardware complexity.

[1]  Ahmed M. Eltawil,et al.  Design and Implementation of a Sort-Free K-Best Sphere Decoder , 2010, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[2]  A. Burg,et al.  VLSI implementation of MIMO detection using the sphere decoding algorithm , 2005, IEEE Journal of Solid-State Circuits.

[3]  Yong Soo Cho,et al.  A New Signal Detection Method for Spatially Multiplexed MIMO Systems and Its VLSI Implementation , 2009, IEEE Transactions on Circuits and Systems II: Express Briefs.

[4]  Zhan Guo,et al.  Algorithm and implementation of the K-best sphere decoding for MIMO detection , 2006, IEEE Journal on Selected Areas in Communications.

[5]  Michael P. Fitz,et al.  A Novel Soft-Output Layered Orthogonal Lattice Detector for Multiple Antenna Communications , 2006, 2006 IEEE International Conference on Communications.

[6]  Zhongding Lei,et al.  A Comparative Study of QRD-M Detection and Sphere Decoding for MIMO-OFDM Systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  John M. Cioffi,et al.  Improved OSIC decoder for spatially multiplexed system , 2006, 2006 IEEE International Conference on Communications.

[8]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.

[9]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[10]  John M. Cioffi,et al.  Combined ML and DFE decoding for the V-BLAST system , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[11]  Poras T. Balsara,et al.  VLSI Architecture for Matrix Inversion using Modified Gram-Schmidt based QR Decomposition , 2007, 20th International Conference on VLSI Design held jointly with 6th International Conference on Embedded Systems (VLSID'07).

[12]  Stephan ten Brink,et al.  Achieving near-capacity on a multiple-antenna channel , 2003, IEEE Trans. Commun..

[13]  Jiang Yue,et al.  A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems , 2005, IEEE Transactions on Wireless Communications.

[14]  Helmut Bölcskei,et al.  Soft-output sphere decoding: algorithms and VLSI implementation , 2008, IEEE Journal on Selected Areas in Communications.

[15]  Tong Zhang,et al.  Relaxed $K$ -Best MIMO Signal Detector Design and VLSI Implementation , 2007, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[16]  L. G. Barbero,et al.  A Fixed-Complexity MIMO Detector Based on the Complex Sphere Decoder , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[17]  Andreas Peter Burg,et al.  K-best MIMO detection VLSI architectures achieving up to 424 Mbps , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[18]  Ahmed M. Eltawil,et al.  A Radius Adaptive K-Best Decoder With Early Termination: Algorithm and VLSI Architecture , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.