An overview of recent advances in sphere decoding techniques for MIMO wireless systems

In this paper, we present a number of novel detection algorithms for multiple-input multiple-output (MIMO) wireless systems, which are capable of achieving near maximum-likelihood (ML) performance with reduced complexity and very suitable for hardware implementation. Also, we incorporate the FPGA prototyping methodology as the real-time verification and proof-of-concept platform so that the actual hardware resource use are investigated and compared for various MIMO detection algorithms.

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[3]  John S. Thompson,et al.  A Simplified Unbiased MMSE Metric Based QRDM Decoder for MIMO Systems , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

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[7]  John S. Thompson,et al.  Fixing the Complexity of the Sphere Decoder for MIMO Detection , 2008, IEEE Transactions on Wireless Communications.

[8]  John S. Thompson,et al.  FPGA Design Considerations in the Implementation of a Fixed-Throughput Sphere Decoder for MIMO Systems , 2006, 2006 International Conference on Field Programmable Logic and Applications.

[9]  John S. Thompson,et al.  Accelerated Sphere Decoding for MIMO Systems using an Adaptive Statistical Threshold , 2009 .

[10]  John S. Thompson,et al.  FPGA design of fixed-complexity high-throughput MIMO detector based on QRDM algorithm , 2010, 2010 5th International ICST Conference on Communications and Networking in China.