標題: An Iterative Geometric Mean Decomposition Algorithm for MIMO Communications Systems
作者: Chen, Chiao-En
Tsai, Yu-Cheng
Yang, Chia-Hsiang
電機工程學系
Department of Electrical and Computer Engineering
關鍵字: Geometric mean decomposition (GMD);multiple-input-multiple-output (MIMO);QR;singular-value-decomposition (SVD);Tomlinson-Harashima precoding (THP)
公開日期: 1-一月-2015
摘要: This paper presents an iterative geometric mean decomposition (IGMD) algorithm for multiple-input-multiple-output (MIMO) wireless communications. In contrast to the conventional geometric mean decomposition (GMD) algorithm, the proposed IGMD does not require the explicit Kth root computation in the preprocessing stage but depends on a carefully constructed iterative procedure that generates the GMD in its limit. We prove analytically that the proposed IGMD is guaranteed to converge to the exact GMD under certain sufficient conditions, and propose three different constructions achieving this condition. Both numerical simulations and complexity analysis of the proposed IGMD have been conducted and compared with the conventional GMD. Simulation results show that our new IGMD algorithm effectively reduces the complexity overhead and hence is more advantageous for low-complexity implementations.
URI: http://dx.doi.org/10.1109/TWC.2014.2347051
http://hdl.handle.net/11536/124391
ISSN: 1536-1276
DOI: 10.1109/TWC.2014.2347051
期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume: 14
起始頁: 343
結束頁: 352
顯示於類別:期刊論文