基于线性动态模型的雷达高分辨距离像小样本目标识别方法

王鹏辉; 刘宏伟; 杜兰; 潘勉; 张学峰

doi:10.3724/SP.J.1146.2011.00680

基于线性动态模型的雷达高分辨距离像小样本目标识别方法

doi: 10.3724/SP.J.1146.2011.00680

基金项目:

国家自然科学基金(60901067, 61001212)，新世纪优秀人才支持计划项目(NCET-09-0630)，长江学者和创新团队发展计划项目(IRT0954)和中央高校基本科研业务费专项资金联合资助课题

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出版历程
- 收稿日期: 2011-07-03
- 修回日期: 2011-11-17
- 刊出日期: 2012-02-19

Linear Dynamic Model Based Radar HRRP Target Recognition under Small Training Set Conditions

摘要

摘要: 为了解决雷达高分辨距离像识别系统对训练样本需求量过大的问题，该文提出一种基于线性动态模型的小样本目标识别方法。首先分析了距离像频谱的统计特性，然后从其广义平稳性出发，使用线性动态模型对距离像频谱幅度建模，并用期望最大化算法估计模型参数。实测数据的实验结果表明：即使在很少的训练样本条件下，该方法仍能获得较高的正确识别率和良好的拒判性能。
- 雷达目标识别 /
- 高分辨距离像 /
- 广义平稳-不相关散射 /
- 线性动态模型
Abstract: To relax the heavy requirement of training sample size in the radar High Resolution Range Profile (HRRP) target recognition, a linear dynamic model based recognition method is proposed. Firstly, the statistical characteristic of HRRPs frequency spectrum is analyzed and considered to be a Wide Sense Stationary (WSS) process. Then a linear dynamic model is employed to model the amplitude of frequency spectrum and an Expectation Maximization (EM) algorithm is adopted to estimate the model parameters. Finally, experimental results based on measured data show that the proposed method can obtain satisfactory recognition accuracy and rejection performance even with a very few training samples.
- Radar target recognition /
- High Resolution Range Profile (HRRP) /
- Wide Sense Stationary- Uncorrelated Scattering (WSS-US) /
- Linear dynamic model

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参考文献(1)

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