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论文:2014,Vol:32,Issue(3):429-433 |
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引用本文： |
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禹亮, 程咏梅, 陈克喆, 刘建新, 刘准钆. 基于证据理论的水声多目标优选方法[J]. 西北工业大学 |
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Yu Liang, Cheng Yongmei, Chen Kezhe, Liu Jianxin, Liu Zhunga. Underwater Acoustic Target Optimum Seeking Using Evidence Theory[J]. Northwestern polytechnical university |
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| 基于证据理论的水声多目标优选方法 |
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| 禹亮, 程咏梅, 陈克喆, 刘建新, 刘准钆 |
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| 西北工业大学 自动化学院, 陕西 西安 710072 |
| 摘要: |
| 针对水声复杂对抗环境下,诱饵与潜艇并存较难通过频谱分析进行辨识的问题,提出了在跟踪过程中,结合目标声学特征与运动特征信息来对目标进行优选并通过证据理论实现该方法。通过对水声目标属性的研究给出了优选所需的相关属性,对各属性特征进行建模,提出了各属性的隶属度的计算方法,分别进行声学属性和运动属性的融合,最后进行声学属性与运动属性的加权融合实现算法。离散仿真和按照对抗策略动态仿真实验结果表明,该方法可有效对水声目标进行优选。 |
| 关键词:
声学
目标识别
信息融合
声学特征
运动特征
证据理论
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| Underwater Acoustic Target Optimum Seeking Using Evidence Theory |
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| Yu Liang, Cheng Yongmei, Chen Kezhe, Liu Jianxin, Liu Zhunga |
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| Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| Decoys and real submarines exist simultaneously and are hard to be recognized with frequency analysis in underwater acoustic countermeasure environment. During the tracking process, a novel identification algorithm using the acoustic feature and motion feature information for target optimum seeking method is proposed;this novel algo-rithm was implemented with evidence theory. Through the study of underwater acoustic target attributes, the desired attributes for optimum seeking were given and modeled. First suitable target attributes were proposed;next member-ship degrees of these attributes were respectively computed;then the acoustic features and motion features were re-spectively fused;at last, weighted fusion was done to the acoustic feature and motion feature fusion results. Discrete simulation and experimental results and their analysis show preliminarily that the proposed algorithm can identify the targets effectively. |
| Key words:
acoustics
automatic target recognition
efficiency
errors
information fusion
mathematical models
membership functions
military electronic countermeasures
Monte Carlo methods
optimization
probability
sensors
submarines
target tracking
acoustic feature
motion feature
evidence theory
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| 收稿日期: 2013-10-15
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金重点项目(61135001);2014年西安市科技计划项目资助 |
| 通讯作者:
Email： |
| 作者简介: 禹亮(1981-),西北工业大学工程师、博士生研究生,主要从事水声反对抗一体化技术研究。
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参考文献: |
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