| 引用本文: | 翟庆林,刘盛启,胡杰民,等.全极化雷达的多任务压缩感知目标识别方法.[J].国防科技大学学报,2017,39(3):144-150.[点击复制] |
| ZHAI Qinglin,LIU Shengqi,HU Jiemin,et al.Full-polarization radar target recognition of multitask compressive sensing[J].Journal of National University of Defense Technology,2017,39(3):144-150[点击复制] |
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| 全极化雷达的多任务压缩感知目标识别方法 |
| 翟庆林1, 刘盛启2, 胡杰民1, 占荣辉1 |
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(1. 国防科技大学 电子科学与工程学院， 湖南 长沙 410073;2. 中国人民解放军31011部队， 北京 100091)
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| 摘要: |
| 为有效利用全极化雷达高分辨距离像（High Resolution Range Profile, HRRP）的丰富特征信息和全极化样本中各单极化HRRP均对应于相同目标姿态的特性，提出一种基于多任务压缩感知的全极化雷达目标识别方法。该方法约束在不同极化字典中选择来自相同角域的字典原子对相应极化方式下的HRRP进行表示，可以有效利用不同极化HRRP之间的相关信息提高目标识别性能。基于电磁散射数据对所提出的方法进行了测试，实验结果证明了方法的有效性。 |
| 关键词: 雷达目标识别 全极化高分辨距离像 多任务压缩感知 |
| DOI：10.11887/j.cn.201703022 |
| 投稿日期：2016-05-09 |
| 基金项目:国家自然科学基金资助项目（61471370，61401479） |
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| Full-polarization radar target recognition of multitask compressive sensing |
| ZHAI Qinglin1, LIU Shengqi2, HU Jiemin1, ZHAN Ronghui1 |
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(1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;2. The PLA Unit 31011, Beijing 100091, China)
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| Abstract: |
| To efficiently utilize the information which can be extracted for target recognition and the character that different polarization channels characterize the same structure signature of a target using different polarization modes to boost recognition performance, a method for full-polarization HRRP recognition based on multitask compressive sensing was proposed. Each single polarization HRRP was represented by the atoms adaptively selected from its associated dictionary, and the atoms derived from different dictionaries corresponded to the same index set. Compared with the conventional methods, the proposed method has the significant advantage of exploiting the correlation among single-polarization HRRPs to enhance recognition performance. Experiments were carried out on simulated data, and the results demonstrate the efficiency of the proposed method. |
| Keywords: radar target recognition full-polarization HRRP multitask compressive sensing |
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