Selection of Design Parameters for Generalized Sphere Decoding Algorithms

• 作者: Ping WANG Tho LE-NGOC
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: SPHERE DECODING (SD) Generalized SPHERE DECODING (GSD) MAXIMUM-LIKELIHOOD (ML) Integer Least-Square (ILS) MIMO λ-GSD MULTI-USER Detection (MUD) CDMA MC-CDMA
• 年，卷（期）: 2010,（2）
• 页码范围: 126-132
• 页数: 7页
• 分类号: TN91

摘要

Various efficient generalized sphere decoding (GSD) algorithms have been proposed to approach optimal ML performance for underdetermined linear systems, by transforming the original problem into the full-column-rank one so that standard SD can be fully applied. However, their design parameters are heuristically set based on observation or the possibility of an ill-conditioned transformed matrix can affect their searching efficiency. This paper presents a better transformation to alleviate the ill-conditioned structure and provides a systematic approach to select design parameters for various GSD algorithms in order to high efficiency. Simulation results on the searching performance confirm that the proposed techniques can provide significant improvement.