Shadow Profile Midline Phase Reconstruction and Its Identification Features Extraction for SISAR

LUO Bin-feng; ZHANG Shou-hong; ZHANG Tao; LUO Yong-jian

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Shadow Profile Midline Phase Reconstruction and Its Identification Features Extraction for SISAR

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- Shadow Profile Midline Phase Reconstruction and Its Identification Features Extraction for SISAR
- Acta Electronica Sinica Vol. 32, Issue 3, Pages: 368-372(2004)
- 作者机构：
  
  1. 西安电子科技大学雷达信号处理国家重点实验室,陕西,西安,710071
  2. 海军工程大学电子工程学院,江苏,南京,211800
  3. 中科院计算所,北京,100870
  4. 西安通信学院,陕西,西安,710106
  5. 西安电子科技大学雷达信号处理国家重点实验室陕西西安,710071
  6. 海军工程大学电子工程学院江苏南京,211800
  7. 中科院计算所北京,100870
  8. 西安通信学院陕西西安,710106
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN959.3
- Published：2004
- 稿件说明：
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LUO Bin-feng, ZHANG Shou-hong, ZHANG Tao, et al. Shadow Profile Midline Phase Reconstruction and Its Identification Features Extraction for SISAR[J]. Acta Electronica Sinica, 2004, 32(3): 368-372.
DOI：

LUO Bin-feng, ZHANG Shou-hong, ZHANG Tao, et al. Shadow Profile Midline Phase Reconstruction and Its Identification Features Extraction for SISAR[J]. Acta Electronica Sinica, 2004, 32(3): 368-372. DOI：

摘要

本文主要研究了利用SISAR复侧影像的相位信息提取目标的识别特征的方法.通过分析复侧影像相位与目标侧影轮廓中线的关系

提出了一种利用侧影像相邻分辨单元幅度及相位关联特征重构目标侧影轮廓中线相位的算法;把重构的中线相位作归一化和差分处理作为目标识别特征

使该特征具有几乎不受目标飞行俯仰变化的影响的优点.仿真验证了所提中线相位重构的有效性及目标识别方法的可行性

并分析了信噪比对目标识别的影响.

Abstract

This paper presents a new method of extracting target recognition features using the phase of shadow profile of SISAR.The relation of the phase of the shadow profile with the middle-line of the target shadow is induced.An algorithm of midline phase reconstruction utilizing the correlation between the phase and amplitude of the shadow profile is presented.Target recognition features are extracted by means of normalization and differentiation of the midline phase of shadow profile

which reduces the influence of the elevation angle variety of the target.Finally

the validity of the extraction method is verified by the simulation results and the effect of the noise on the recognition performance is analysed.

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