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本文提出了一种基于K-Best树搜索算法的4×4 64-QAM MIMO检测器，采用0.13µm CMOS工艺实现655Mb/s的高吞吐量，解决了高光谱效率MIMO系统中高速、近最大似然检测的VLSI实现难题。
The high spectral efficiency offered by multiple-input-multiple-output (MIMO) technology has made it the technology-of-choice in many standards like IEEE 802.16e/m (WiMAX) and the long term evolution (LTE) project and emerging 4G systems. One challenge to the widespread adoption of MIMO technology is the design of high-throughput detectors with near maximum-likelihood (ML) performance and cost-effective VLSI realization for a large number of antennas and constellation order. The K-Best algorithm is a well-known tree-search approach, an alternative to sphere decoding, for MIMO detection offering the important advantage of fixed throughput. However, a scalable high-throughput silicon implementation for a 4-transmit 4-receive antenna (4×4) 64-QAM spatial multiplexing (SM) MIMO detector, envisioned in LTE and WiMAX systems, remains a significant technical challenge especially for high multimedia data rates that are envisaged to approach to 1Gb/s. State-of-the-art designs consume large sili
Mahdi Shabany, P. Glenn Gulak
University of Toronto, Toronto, Canada