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Analytic study of space-time and space-frequency adaptive processing for radio frequency interference suppression.

机译：时空和空频自适应处理抑制射频干扰的分析研究。

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摘要

A study of space-time (STAP) and space-frequency adaptive processing (SFAP) techniques for interference suppression in digital spread spectrum receivers is performed. STAP and SFAP algorithms combine spatial and temporal filters to suppress radio frequency interference (RFI) extending the nulling capability of a conventional adaptive array beyond its sensor-limited spatial degrees of freedom. The STAP/SFAP configured array's ability to null multiple RFI without previous knowledge of the interference characteristics or location while simultaneously receiving desired signals makes these techniques well suited for spread spectrum receivers operating in ill-defined interference environments. In the study, analytic models of STAP, SFAP, and the received noise, interference, and desired signals are used to estimate performance for narrowband, wideband, and mixed-bandwidth interference scenarios using various processor configurations.; For STAP, a detailed analysis on the effect of interference power and bandwidth on the multi-tap STAP is performed. The eigenvalue distribution of the array covariance matrix is used to characterize the interference effects on performance and consumption of the available space-time degrees of freedom. Additionally, the STAP configuration is studied to understand the effect of varying the time/tap reference within the STAP steering vector with the finding that the location can significantly affect the system's phase performance.; For SFAP, the effect of interference power and bandwidth is also studied using the eigenvalue distribution of the array covariance matrix. As SFAP is implemented in the frequency domain with the weights for each bin determined independently, the total eigenvalue distribution over all bins is accounted for. Windowing of the input time domain samples is included as a means to limit the degrees of freedom consumed. Varying the time reference location in SFAP is also studied along with window correction of the output samples to determine potential benefits and implementation impacts. Additionally, a detailed study on normalization of the frequency domain weights is presented with the finding that normalization affects processor flexibility in the nulling of individual frequency bins overwhelmed by unsuppressed interference.; The study concludes with a comparison of two computationally equivalent STAP and SFAP processors.
机译：进行了时空（STAP）和空频自适应处理（SFAP）技术在数字扩频接收机中抑制干扰的研究。 STAP和SFAP算法结合了空间和时间滤波器，以抑制射频干扰（RFI），从而将常规自适应阵列的归零能力扩展到其传感器限制的空间自由度之外。 STAP / SFAP配置的阵列无需事先知道干扰特性或位置，即可同时消除多个RFI的能力，同时接收所需信号，使这些技术非常适合在不确定环境中工作的扩频接收机。在这项研究中，STAP，SFAP的分析模型以及接收到的噪声，干扰和所需信号被用于估计使用各种处理器配置的窄带，宽带和混合带宽干扰方案的性能。对于STAP，将对干扰功率和带宽对多抽头STAP的影响进行详细分析。阵列协方差矩阵的特征值分布用于表征对可用空时自由度的性能和消耗的干扰影响。另外，对STAP配置进行了研究，以了解在位置可能会严重影响系统的相位性能的情况下，改变STAP导向向量中的时间/抽头参考的影响。对于SFAP，还使用阵列协方差矩阵的特征值分布研究了干扰功率和带宽的影响。由于SFAP是在频域中实现的，每个仓的权重独立确定，因此考虑了所有仓的总特征值分布。输入时域样本的窗口化被包括在内，以限制所消耗的自由度。还研究了SFAP中时间参考位置的变化以及输出样本的窗口校正，以确定潜在的好处和实施影响。另外，提出了对频域权重归一化的详细研究，并发现归一化会影响处理器频率的灵活性，因为单个频点的归零会受到无法抑制的干扰所淹没。该研究的结论是比较了两个在计算上等效的STAP和SFAP处理器。

著录项

  • 作者

    Moore, Thomas Dean.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 209 p.
  • 总页数 209
  • 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

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