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dc.contributor.authorChiang, Chih-Hsuanen_US
dc.contributor.authorHuang, Shuo-Anen_US
dc.contributor.authorChen, Chiao-Enen_US
dc.contributor.authorYang, Chia-Hsiangen_US
dc.date.accessioned2019-04-02T06:04:27Z-
dc.date.available2019-04-02T06:04:27Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn0271-4302en_US
dc.identifier.urihttp://hdl.handle.net/11536/150867-
dc.description.abstractThe generalized geometric mean decomposition (GGMD) is a recently proposed matrix decomposition which can be viewed as a computationally efficient counterpart of the conventional geometric mean decomposition (GMD). As the GMD is the core algorithm in many high performance precoders and equalizers such as the Tomlinson-Harashima precoder and decision feedback equalizer, GGMD facilitates a more computationally efficient implementation while exhibiting identical performance. This work presents the first GGMD processor in the open literature, supporting various matrix sizes by leveraging the reconfigurable processing element (PE) using coordinate rotation digital computers (CORDICs). The implemented GGMD processor supports matrix sizes of 2(n) which ranges from 2 x 2 to 16 x 16, and the throughput performance is maximized through a PE array architecture. The chip integrates 326.9K gates in an area of 1.65 mm(2) in a 90-nm CMOS technology with the maximum throughput achieving 450K matrices/sec for a 16 x 16 matrix at 125 MHz. It dissipates 20.7-28.5 mW at 125 MHz from a 1V supply. Compared to previous GMD designs, this work supports a larger MIMO system with lower hardware complexity and power consumption.en_US
dc.language.isoen_USen_US
dc.titleA 2x2-16x16 Reconfigurable GGMD Processor for MIMO Communication Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000451218702125en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper