Analysis and Development of Algorithms for Antenna Array Based Communications Systems

在同时存在多个同信道信号的情况下，需要采用天线阵列的通信系统。 由多个天线元件提供的空间鉴别允许单独提取频谱重叠的信号。 虽然这种系统通常是在军事应用的背景下提出的，但最近一些重要的商业应用也引起了人们的注意。 特别地，已经提出了在陆基移动的无线电系统中使用天线阵列以提供增强的空间辨别力并因此增加容量。 这样的阵列可以潜在地在相邻小区中或在通信小区本身内提供频率重用。 这项研究正在研究信号复制，干扰消除和使用天线阵列的源定位，特别强调在移动的无线电通信中可能遇到的场景（例如，多径衰落环境、某些信号格式，例如模拟FM IS-3AMPS、GSM、IS-54偏移QPSK、IS-95 CDMA等）。 这项研究的重点是开发和分析的算法，利用所有可用的时间和空间信息。 用于测向（DF）和信号复制（SC）的常规技术依赖于数据中的空间或时间结构，但通常不是两者。 在阵列响应数据和信号结构信息都可用的情况下，忽略其中任何一个显然都是次优的。 因此，几种不同的技术，利用空间和时间信号结构的改进DF/SC将研究：迭代盲最小二乘;决策导向算法阵列为基础的均衡多径信道;和最佳的联合DF/SC参数阵列的不确定性。 最后，特别强调将放在本研究中使用f真实的移动的蜂窝无线电数据来测试的有效性的算法开发。

Communication systems employing antenna arrays are required in situations where multiple co-channel signals are present simultaneously. The spatial discrimination provided by multiple antenna elements allows spectrally overlapping signals to be individually extracted. While such systems have typically been proposed in the context of military applications, a number of important commercial applications have recently gained attention. In particular, it has been proposed that antenna arrays be used in land-based mobile radio systems to provide enhanced spatial discrimination and hence increased capacity. Such arrays could potentially provide frequency reuse in adjacent cells, or within a communication cell itself. This research is examining signal copy, interference cancellation, and source localization using antenna arrays, with particular emphasis on scenarios that might be encountered in mobile radio communications (e.g., multipath fading environments, certain signal formats such as analog FM IS-3 AMPS, GSM, IS-54 offset QPSK, IS-95 CDMA, etc.). A focus of this research is the development and analysis of algorithms that exploit all available temporal and spatial information. Conventional techniques for direction finding (DF) and signal copy (SC) rely on either spatial or temporal structure in the data, but typically not both. In situations where both array response data and information about the signal structure is available, it is obviously suboptimal to ignore either. Consequently, several different techniques that exploit both spatial and temporal signal structure for improved DF/SC will be studies: iterative blindleast-squares; decision directed algorithms array-based equalization of multipath channels; and optimal joint DF/SC with parametric array uncertainty. Finally, special emphasis will be placed in this research on the use f real mobile cellular radio data to test the effectiveness of the algorithms developed.