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Sample-by-sample adaptive space-time processing for multiuser detection in multipath CDMA systems

机译：多径CDMA系统中多用户检测的采样采样自适应时空处理

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Multiuser detection and space-time processing are two advanced signal-processing techniques for the mitigation of multiple-access interference and intersymbol interference in wireless CDMA communications. The purpose of this work is to investigate techniques for efficient space-time multiuser detection (ST MUD). A companion paper considered batch iterative methods, which assume knowledge of all signals and channels. In this paper sample-by-sample adaptive methods, both data-aided (with training sequences) and blind, which require only the timing and training sequences (for data-aided) or the spreading codes (for blind) of the desired user(s), are considered. For data aided adaptive methods, a decentralized adaptive minimum-mean-square-error space-time multiuser detector and a centralized adaptive decision-feedback space-time multiuser detector are presented. Then a blind adaptive space-time multiuser receiver based on the linear constrained minimum variance criterion and min-max parameter estimation is developed, which is robustified with norm-constrained techniques in the case of signature waveform mismatch. A least mean square implementation of all these adaptive ST MUD receivers is given.
机译：多用户检测和时空处理是两个先进的信号处理技术，用于减轻无线CDMA通信中的多访问干扰和偶尔ymbol干扰。这项工作的目的是研究有效的时空多用户检测技术（ST泥）。伴侣纸被认为是批量迭代方法，这呈现了所有信号和频道的知识。在本文中，通过样本自适应方法，包括数据辅助（带训练序列）和盲，其仅需要定时和训练序列（用于数据辅助）或所需用户的扩展码（用于盲）（ s）被认为是。对于数据辅助自适应方法，提出了分散的自适应最小均方误差时空多用户检测器和集中式自适应决策 - 反馈空间多用户检测器。然后，开发了一种基于线性约束的最小方差标准和MIN-MAX参数估计的盲自适应空间多用户接收器，其在签名波形不匹配的情况下，以规范受限技术强制化。给出了所有这些自适应ST泥浆接收器的最小均方形实现。

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