Algorithm and implementation of the K-best sphere decoding for MIMO detection
IEEE Journal on Selected Areas in Communications
Algorithm and hardware complexity reduction techniques for k-best sphere decoders
Proceedings of the 20th symposium on Great lakes symposium on VLSI
Reconfigurable real-time MIMO detector on GPU
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Low-complexity high throughput VLSI architecture of soft-output ML MIMO detector
Proceedings of the Conference on Design, Automation and Test in Europe
Implementation of a High Throughput Soft MIMO Detector on GPU
Journal of Signal Processing Systems
Area-Efficient Antenna-Scalable MIMO Detector for K-best Sphere Decoding
Journal of Signal Processing Systems
High-throughput soft-output MIMO detector based on path-preserving trellis-search algorithm
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Maximum-likelihood (ML) decoding is a very computational-intensive task for multiple-input multiple-output (MIMO) wireless channel detection. This paper presents a new graph based algorithm to achieve near ML performance for soft MIMO detection. Instead of using the traditional tree search based structure, we represent the search space of the MIMO signals with a directed graph and a greedy algorithm is applied to compute the a posteriori probability (APP) for each transmitted bit. The proposed detector has two advantages: 1) it keeps a fixed throughput and has a regular and parallel datapath structure which makes it amenable to high speed VLSI implementation, and 2) it attempts to maximize the a posteriori probability by making the locally optimum choice at each stage with the hope of finding the global minimum Euclidean distance for every transmitted bit. Compared to the soft K-best detector, the proposed solution significantly reduces the complexity because sorting is not required, while still maintaining good bit error rate (BER) performance. The proposed greedy detection algorithm has been designed and synthesized for a 4 by 4 16-QAM MIMO system in a TSMC 65 nm CMOS technology. The detector achieves a maximum throughput of 600 Mbps with a 0.79 square mm core area.