Smart Antennas and DS/CDMA Communications: Basic Algorithmic Developments and Hardware Prototyping

自适应天线阵列和DS/CDMA通信系统是两个具有各自挑战的主题，在过去几年中分别产生了重大的研究兴趣。当这些问题在天线阵列CDMA接收机系统中得到综合处理时，这些问题将被放大，并产生新的理论和实际问题。本文提出的天线阵列DS/CDMA通信研究具有以下三个特点：（1）保持了联合空时处理的原理。(ii)寻求低优化复杂度，因此矩阵求逆和/或特征分解被视为不期望的操作。(iii)目标是在短数据记录上的上级自适应系统性能，而不是理想的渐近性。 在对科学和工程原理的预测贡献方面，这项拟议的研究旨在建立在过去四年中PI的过去工作的基础上-由国家科学基金会的种子基金支持-这导致了新的线性滤波器优化标准和程序的初步理解和初步发展。重点是低偏差和低短数据记录方差自适应优化程序，该提案的研究人员已经开发并命名为“矢量（AV）”过滤。AV滤波可以触及目前受到“维数灾难”阻碍的多学科工程的许多方面，并且可以通过有限的输入数据从自适应滤波和/或自适应系统优化中受益。AV滤波方案的变化目前被考虑在各种领域中，包括CDMA信号的仅时间处理、同步、自适应鲁棒扩频接收机设计、自适应阵列雷达、到达方向估计问题和抗干扰GPS。目前的研究计划涵盖了从基本算法开发和理论分析到DSP和FPGA硬件原型设计和测试的各个方面，包括使用SPW（R）块级通信系统模拟器、具有12个完整接收链的可编程天线阵列测试平台、范围超过7米的消声室以及DSP/FPGA板级实现测试平台。

0073660PadosAdaptive antenna arrays and DS/CDMA communication systems are two subjects with their own individual challenges that have separately generated significant research interest over the past several years. When brought together at the integrated antenna-arrayCDMA-receiver system level, these challenges are magnified and new problems of both theoretical and practical interest arise.This proposed research on antenna array DS/CDMA communicationsis characterized by the following three attributes: (i) The principle of joint space-time processing is maintained. (ii) Low optimization complexity is sought, therefore matrix inversions and/or eigen-decompositions are viewed as undesirable operations.(iii) Superior adaptive system performance on short data records,as opposed to ideal asymptotics, is the objective. In terms of projected contributions to science and engineeringprinciples, this proposed research is intended to build on past workof the PIs during the last four years -supported by seed funding by the National Science Foundation- that led to initial understanding andpreliminary development of new linear filter optimization criteria andprocedures. The focus is on low bias and low short-data-record variance adaptive optimization procedures that the investigators of this proposal have developed and termed ``auxiliary-vector (AV)'' filtering. AV filtering may touch many aspects of multidisciplinary engineering that are presentlyhampered by the ``curse of dimensionality'' and could benefit from adaptivefiltering and/or adaptive system optimization through limited input data.Variations of AV filtering schemes are currently considered in diversified areas that include temporal-only processing of CDMA signals, synchronization, adaptive robust spread-spectrum receiver designs, adaptive array radars,Direction-Of-Arrival estimation problems, and jam-resistant GPS. This presentresearch plan covers aspects varying from basic algorithmic developments and theoretical analysis to DSP and FPGA hardware prototyping and testing throughthe use of the SPW (R) block-level communications systems simulator, a programmable antenna array testbed with 12 complete receive chains, an anechoic chamber with range in excess of 7 meters, and a DSP/FPGA board-level implementation testbed.***