A Super Resolution Radar Imaging Algorithm Based on the 2-D Approximate Model

孙长印; 保铮

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A Super Resolution Radar Imaging Algorithm Based on the 2-D Approximate Model

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- A Super Resolution Radar Imaging Algorithm Based on the 2-D Approximate Model
- Acta Electronica Sinica Issue 12, Pages: 84-87(1999)
- 作者机构：
  
  1. 西安电子科技大学雷达信号处理重点实验室!西安
  2. 710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN95
- Published：1999
- 稿件说明：
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[1]孙长印,保铮.雷达成像近似二维模型及其超分辨算法[J].电子学报,1999(12):84-87.

孙长印, 保铮. A Super Resolution Radar Imaging Algorithm Based on the 2-D Approximate Model[J]. Acta Electronica Sinica, 1999, (12): 84-87.
[1]孙长印,保铮.雷达成像近似二维模型及其超分辨算法[J].电子学报,1999(12):84-87. DOI：

孙长印, 保铮. A Super Resolution Radar Imaging Algorithm Based on the 2-D Approximate Model[J]. Acta Electronica Sinica, 1999, (12): 84-87. DOI：

摘要

现有的雷达成像超分辨算法是基于目标回波信号的二维正弦信号模型，所以模型误差，特别是距离走动误差，将使算法性能严重下降或失效、为此，本文采用距离走动误差下的一阶近似雷达成像二维信号模型，提出了一种基于非线性最小二乘准则的参数化超分辨算法在算法中，距离走动误差补偿与目标参量估计联合进行文中同时给出了算法估计性能的Cramer－Rao界及仿真结果

Abstract

The recently proposed super resolution radar imaging algorithms

which are based on the 2-D sinusoid signalmodel

often suffer from the motion through resolution cell error（MTRC） and failed completely. In this paper

an algorithm isproposed based on the 2-D approximate radar imaging model. By minimizing a nonlinear least-squares cost function

the algorithm combines the parameter estimation with the compensation of MTRC errors . The Cramer-Rao bounds are derived andsimulation results are also presented to demonstrate the performance of the algorithm.

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Related Institution

Information Center of Exercitation DepartmentNational University of Defense TechnologyChangshaHunan 410073China

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