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作 者:赵驰盟 兀伟[1] 杨银芳 Zhao Chimeng;Wu Wei;Yang Yinfang(Xi'an University of Technology,Xi’an 710021,China;Northwest Industry Group Co.LTD,Xi’an 710043,China)
机构地区:[1]西安工业大学,西安710021 [2]西北工业集团有限公司,西安710043
出 处:《国外电子测量技术》2020年第9期47-52,共6页Foreign Electronic Measurement Technology
摘 要:针对在复杂战场环境下激光、红外和无线电引信探测识别精度不高的问题,提出了基于动态阈值的目标检测和模糊推理的磁探测引信目标识别算法。该算法通过动态阈值对采集到的目标磁异常信号进行检测,采用小波阈值法和滑动平均滤波法对目标信号进行去噪处理,提取目标输出信号的特征,对比真实目标特征参数,采用模糊推理算法对目标特征量进行判别,最终完成目标精准识别。仿真结果表明,该算法得出目标识别概率可达90.2%,能够对目标进行有效的识别,为其他探测系统的目标识别提供了可借鉴的途径。Aiming at the problem that the detection and recognition accuracy of laser,infrared and radio fuze is not high in complex battlefield environment,the target recognition algorithm of magnetic detection fuze based on dynamic threshold and fuzzy reasoning is proposed.The algorithm detects the target magnetic anomaly signal by dynamic threshold,and denoises the target signal by wavelet threshold method and moving average filtering method,The feature of the target output signal is extracted,and the characteristic parameters of the real target are compared,The fuzzy inference algorithm is used to distinguish the feature quantity of the target,and finally the target accurate recognition is completed.The simulation results show that the target recognition probability can reach 90.2%,which can effectively identify the target,It provides a reference for other detection systems.
分 类 号:TJ434.4[兵器科学与技术—火炮、自动武器与弹药工程]
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