• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Phase-only and amplitude-only adaptive algorithms based on a D(3)LS method for smart antenna systems and airborne radar applications.
【24h】

Phase-only and amplitude-only adaptive algorithms based on a D(3)LS method for smart antenna systems and airborne radar applications.

机译：基于D（3）LS方法的仅相位和仅振幅自适应算法，用于智能天线系统和机载雷达应用。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Adaptive array signal processing has been used in many applications. One principle advantage of an adaptive array is the ability to recover the desired signal while also automatically placing deep pattern nulls along the direction of the interferences. Adaptive antenna array systems perform by changing amplitudes and phases of the voltages induced at each of the antenna elements. Forming such a weighted sum of the complex voltages could be slow and ineffective for large arrays. Some existing antenna systems possess the capability of using the weights as the phase only at each of the antenna elements to mitigate the undesired interference while preserving simultaneously the desired signal. For these reasons, in this dissertation we propose an adaptive methodology where the weights can be phase-only or amplitude-only. The use of these algorithms results on a faster response and simpler software and hardware design. These algorithms are based on a Direct Data Domain Least Squares (D3LS) approach, in which we utilize only a single snapshot of the data for adaptive processing.; In most adaptive algorithms it is necessary to know something about the signal that we are trying to extract in a noisy environment. The D 3LS approach is also available where the direction of arrival (DOA) of the signal of interest (SOI) is known a priori. Further, for Space-Time Adaptive Processing (STAP) applications, the algorithm requires knowledge of the signal Doppler frequency. Hence we need to guarantee a good estimate for the DOA and the Doppler frequency of the SOI. One of the open problems is how to provide a good estimate for the DOA of the SOI when there is uncertainty associated with the assumed DOA due to the atmospheric diffraction or measurement errors. It will be shown that the norm of the adapted weights provide a refined estimate for the actual DOA of the SOI when there are uncertainties associated with their initial estimates. Specifically, the existence of a minimum in the sum of the weights can be used further to estimate the target return angle. It could also be used to perform the detection process as well. So this thesis represents the minimum norm properties of the optimum weights. This could lead to a more accurate estimation of the direction of arrival of the signal or on a detection process, when a good estimate for the direction of arrival information is not available a priori.
机译：自适应阵列信号处理已在许多应用中使用。自适应阵列的一个主要优点是能够恢复所需信号，同时还可以沿干扰方向自动放置较深的图案零点。自适应天线阵列系统通过改变在每个天线元件处感应的电压的幅度和相位来执行。形成这样的复杂电压的加权和可能很慢，并且对大型阵列无效。一些现有的天线系统具有仅在每个天线元件处使用权重作为相位的能力，以减轻不希望的干扰，同时保留期望的信号。由于这些原因，本文提出了一种自适应方法，其中权重可以是仅相位的或仅振幅的。这些算法的使用导致更快的响应以及更简单的软件和硬件设计。这些算法基于直接数据域最小二乘（D3LS）方法，在该方法中，我们仅将数据的单个快照用于自适应处理。在大多数自适应算法中，有必要了解有关我们在嘈杂环境中试图提取的信号的一些知识。在事先知道目标信号（SOI）的到达方向（DOA）的情况下，也可以使用D 3LS方法。此外，对于空时自适应处理（STAP）应用，该算法需要了解信号多普勒频率。因此，我们需要保证对SOI的DOA和多普勒频率进行良好的估算。未解决的问题之一是，当由于大气衍射或测量误差而导致与假定DOA相关的不确定性时，如何为SOI的DOA提供良好的估计。将显示出，当存在与它们的初始估计有关的不确定性时，适应权重的范数为SOI的实际DOA提供了精确的估计。具体地，权重之和中的最小值的存在可以进一步用于估计目标返回角。它也可以用于执行检测过程。因此，本文代表了最优权重的最小范数性质。当事先无法获得对到达方向信息的良好估计时，这可能导致对信号到达方向的更准确估计或在检测过程上。

著录项

  • 作者

    Choi, Won-Suk.;

  • 作者单位

    Syracuse University.;

  • 授予单位 Syracuse University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号