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作 者:吕一鸣 陈川 邓国新 LYU Yiming;CHEN Chuan;DENG Guoxin(No.710 R&D Institute,CSSC,Yichang 443003,China;Qingjiang Innovation Center,Wuhan 430076,China)
机构地区:[1]中国船舶集团有限公司第七一〇研究所,湖北宜昌443003 [2]清江创新中心,湖北武汉430076
出 处:《数字海洋与水下攻防》2025年第1期100-107,共8页Digital Ocean & Underwater Warfare
摘 要:水下无人平台在对舰船目标的自主探测过程中时常会受到水下脉冲干扰,其中较为常见的是单频信号、线性调频信号等脉冲信号,为了抵消此类脉冲干扰,需要对脉冲信号的信号脉宽、调制斜率、中心频率等特征信息进行检测。采用了基于FRFT和STFT相结合的ST-FRFT算法对水下脉冲信号信息特征进行检测,通过模拟仿真和海上实测数据检测对算法的实时和有效性进行了验证,该算法可应用到水下小平台对舰船目标的抗干扰检测。In the process of autonomous detection of ship targets,unmanned underwater platforms often suffer from underwater pulse interference,among which single-frequency signals,linear frequency modulation signals and other pulse signals are more common.In order to offset such pulse interference,it is necessary to detect the signal pulse width,modulation slope,center frequency and other characteristic information of pulse signals.In this paper,ST-FRFT algorithm based on the combination of FRFT and STFT is used to detect the characteristics of underwater pulse signal information.The real-time and effectiveness of the algorithm is verified through simulation and sea data detection.The algorithm can be applied to the anti-interference detection of underwater small platforms to ship targets.
分 类 号:TN911.23[电子电信—通信与信息系统]
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