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。
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.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2014年第3期429-433,共5页
Journal of Northwestern Polytechnical University
基金
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
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
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
作者简介
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。
