Joint Space-Time Auxiliary-Vector Filtering for DS/CDMA Systems with Antenna Arrays

带天线阵列的 DS/CDMA 系统的联合空时辅助矢量滤波

• 批准号: 9805359
• 负责人: Dimitris Pados
• 金额: $ 6万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-08-01 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9805359&HistoricalAwards=false
• 关键词: Joint; Space; Time; Auxiliary; Vector

We consider the problem of blind adaptive filtering in high- dimension vector spaces with limited data sample support. The focus application is joint space-time adaptive processing for DS/CDMA communications systems with antenna arrays. The objective is the development of fast, low complexity optimization procedures that exhibit superior disturbance (multiple-access- interference and channel noise) suppression characteristics in small data support situations. The low optimization complexity objective implies that matrix inversion and/or eigen decomposition operations are highly undesirable. In this context, the core subject of this investigation is the development and analysis of inductive, conditional optimization procedures in the form of a sequence of weighted auxiliary vectors that are orthonormal to each other and to the joint space-time vector direction of interest.

研究了高维向量空间中有限数据样本支持下的盲自适应滤波问题。重点应用于具有天线阵列的DS/CDMA通信系统的联合空时自适应处理。 我们的目标是开发快速，低复杂度的优化程序，表现出上级干扰（多址干扰和信道噪声）的抑制特性，在小数据支持的情况下。低优化复杂度目标意味着矩阵求逆和/或本征分解运算是非常不受欢迎的。在这种情况下，本次调查的核心主题是归纳的，有条件的优化程序的形式是一个序列的加权辅助向量，正交相互和联合时空向量的方向感兴趣的发展和分析。