| 基于Gabor展开的水下目标激光探测的信号检测与识别 |
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| 引用本文： | 昌彦君,彭复员,朱光喜,刘应状,胡颖松.基于Gabor展开的水下目标激光探测的信号检测与识别[J].中国激光,2003,30(3):282-284. |
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| 作者姓名： | 昌彦君 彭复员 朱光喜 刘应状 胡颖松 |
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| 作者单位： | 1. 华中科技大学电子与信息工程系,湖北,武汉,430074;武汉理工大学,湖北,武汉,430024
2. 华中科技大学电子与信息工程系,湖北,武汉,430074 |
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| 基金项目： | 国防科研预研项目 (编号 :98 2 0 0 0 2 .3.2 ) |
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| 摘 要： | 针对水下目标激光探测的信号检测与识别的问题 ,通过对回波信号的Gabor展开进行分析 ,建立了局部窗口多重相关的峰值检测方法 ,以及利用系数矩阵的迹和特征值描述目标的反射性能 ,实现了对目标的分类识别。实验表明 ,上述方法对目标的有效检测率达 93 0 % ,分类识别有效率达 83 2 %。
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| 关 键 词： | 信号检测 水下目标 Gabor展开 机载激光 识别 |
| 收稿时间： | 2001/11/26 |
Recognition and Detection of the Laser Sounding Signal for the Underwater Target Based on the Gabor Expansion |
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| CHANG Yan jun ,PENG Fu yuan ,ZHU Guang xi ,LIU Ying zhuang ,HU Ying song Dept. of Electronics & Information Eng.,Huazhong University of Science and Technology,Wuhan,Hubei ,China Wuhan University of Technology,Wuhan,Hubei ,China.Recognition and Detection of the Laser Sounding Signal for the Underwater Target Based on the Gabor Expansion[J].Chinese Journal of Lasers,2003,30(3):282-284. |
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| Authors: | CHANG Yan jun PENG Fu yuan ZHU Guang xi LIU Ying zhuang HU Ying song Dept of Electronics & Information Eng Huazhong University of Science and Technology Wuhan Hubei China Wuhan University of Technology Wuhan Hubei China |
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| Affiliation: | CHANG Yan jun 1,2,PENG Fu yuan 1,ZHU Guang xi 1,LIU Ying zhuang 1,HU Ying song 1 1Dept. of Electronics & Information Eng.,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China 2Wuhan University of Technology,Wuhan,Hubei 430074,China |
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| Abstract: | The paper discusses the detection and cognition of the laser echo signal of underwater target, based on the ability of the Gabor expansion to localize signals. In virtue of the multiple correlation analysis for the expansion coefficient in local window, the detection method of peak value is founded. By taking the trace and characteristic value of the coefficient matrix as parameters to describe the reflecting ability of underwater target, the classified cognition of the target is carried out. Experimental results show that the effective target detection probability is 93.0% and the classified recognition probability is 83.2%. |
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| Keywords: | signal detection underwater target Gabor expansion airborne laser recognition |
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