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Recognition and analysis of aircraft targets by radar, using structural pattern representations derived from polarimetric signatures.

机译:雷达使用极化特征识别的结构模式表示,通过雷达识别和分析飞机目标。

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摘要

Automatic recognition of aircraft by means of radar signals is the subject of this dissertation. In particular, the problem of utilizing polarimetric information from the monostatic, wideband, scattering matrix to target classification and analysis is considered. The approach taken is to effect a decomposition of the target in terms of its predominant scattering centers and their polarimetric properties. This polarimetric target model is based on a new formalism for the description of the vector behavior of wideband electromagnetic planewaves, called transient polarization.; The transient polarization response of a radar object is a 3-dimensional, time-dependent electric field locus. Conceptually, this signature can be envisioned as the result of transmitting a short "circularly polarized" pulse toward the object. The incident pulse illuminates each of the object scattering structures with all possible orientations of the electric field vector. The object substructures scatter electromagnetic energy with a transient polarization state which is characteristic of the substructure geometry.; Transient polarization states are expressed as a 3-tuple of time-dependent polarimetric parameters {dollar}{lcub}A(t),epsilon(t),tau(t){rcub}{dollar}. These are respectively, amplitude, ellipticity, and tilt. In the limit of zero bandwidth, that is, in the continuous wave case, these parameters describe an ellipse in the plane of the wavefront. Scattering centers are identified by the peaks in the amplitude. The polarimetric parameters of canonical targets, simplified aircraft target combinations, and scaled model commercial airliners are analyzed.; The performance of radar target identification systems employing polarimetric features is evaluated by means of Monte-carlo simulation studies. Both decision-theoretic and language-theoretic techniques are used for this purpose. In the former case, distance measures in polarization space are employed in the non-parametric nearest neighbor algorithm. In the latter case, the polarization space is partitioned and symbols are assigned to the various polarimetric regions. A target is represented as a string of polarimetrically-related symbols, and is classified using syntactic methods.; Target classification simulations show that polarimetric pattern representations extracted from transient polarization responses may be used for reliable and flexible target classification. In addition, the polarimetric techniques developed in this study may be used as a tool for concise characterization and analysis of time-domain electromagnetic scattering.
机译:本文通过雷达信号对飞机进行自动识别。特别地,考虑了利用来自单静态,宽带,散射矩阵的极化信息来进行目标分类和分析的问题。所采用的方法是根据目标的主要散射中心及其极化特性对目标进行分解。这种极化目标模型基于一种新的形式主义,用于描述宽带电磁平面波的矢量行为,称为瞬态极化。雷达物体的瞬态极化响应是3维的,与时间有关的电场轨迹。从概念上讲,可以预想该签名是向对象传输短“圆极化”脉冲的结果。入射脉冲以电场矢量的所有可能方向照亮每个对象散射结构。物体的子结构以瞬态极化态散射电磁能,这是子结构几何形状的特征。瞬态极化状态表示为三元组的时间相关极化参数{美元} {lcub} A(t),ε(t),tau(t){rcub} {美元}。它们分别是幅度,椭圆率和倾斜度。在零带宽的限制下,即在连续波情况下,这些参数描述了波前平面中的椭圆。散射中心由振幅的峰值识别。分析了规范目标的极化参数,简化的飞机目标组合和比例模型商业客机。利用蒙特卡罗模拟研究评估了采用极化特征的雷达目标识别系统的性能。决策理论和语言理论技术均用于此目的。在前一种情况下,在非参数最近邻算法中采用了极化空间中的距离度量。在后一种情况下,偏振空间被划分,并且符号被分配给各个偏振区域。目标表示为一串与偏振相关的符号,并使用句法方法进行分类。目标分类模拟表明,从瞬态极化响应中提取的偏振模式表示可用于可靠且灵活的目标分类。此外,在这项研究中开发的极化技术可以用作简明表征和时域电磁散射分析的工具。

著录项

  • 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 1989
  • 页码 276 p.
  • 总页数 276
  • 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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