Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers

PEI Bing-nan; BAO Zheng

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Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers

更新时间：2025-07-16

- Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers
- Acta Electronica Sinica Vol. 31, Issue 5, Pages: 786-789(2003)
- 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. 郑州大学电子工程系,河南,郑州,450052
  3. 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
  4. 郑州大学电子工程系河南郑州,450052
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN95TN911
- Published：2003
- 稿件说明：
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PEI Bing-nan, BAO Zheng. Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers[J]. Acta Electronica Sinica, 2003, 31(5): 786-789.
DOI：

PEI Bing-nan, BAO Zheng. Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers[J]. Acta Electronica Sinica, 2003, 31(5): 786-789. DOI：

摘要

根据高分辨雷达目标的简单散射点模型

提出用Relax算法从雷达回波提取目标强散射点分布的位置信息作为目标识别的物理特征

用隐马尔可夫模型表征多视角雷达回波序列

实现飞机类目标识别的方法.实测数据的计算机仿真表明

对训练数据段

仿真可以指示飞机的姿态

方位识别平均正确率为96.77%

类平均正确识别率为99.80%;当测试数据取自没有训练过飞行数据段时

两种情况的类平均正确识别率分别为81.25%和89.87%.

Abstract

A method for airplane-like targets recognition is suggested

by using the position information of prominent point scattering

taken from the high resolution radar echoes by means of Relax algorithm

as the physic feature for recognition

which is based on the simplified model of points scattering under high resolution radar condition.Computer simulations with radar data show that for the trained data-segments that aircraft can be indicated at averaged rate of 96.77% to aspect-recognition and of 99.80% to class-recognition

respectively.For untrained data-segments the averaged class-recognition rate reaches 81.25% and 89.87%

respectively under two given conditions.

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