摘要
如何运用声学探测方法准确定位水下掩埋物是目前亟须解决的重要基础科技问题。采用简正波模型Pekeris波导环境计算声压场,编程应用线性匹配场、自适应匹配场和压缩感知匹配场定位算法,在二维平面下,对比分析三种匹配场定位算法效果;在三维柱坐标下,编程应用自适应匹配场定位算法,采用遗传算法对水下掩埋物进行三维全局目标寻优。结果表明,自适应匹配场定位算法在定位精度和抗干扰能力方面,整体优于线性匹配场和压缩感知匹配场定位算法;实现对水下掩埋物的三维准确定位,通过遗传算法进行全局目标寻优,掩埋物位置参数的定位误差均在0.5%以内;可为声学定位水下掩埋物提供工程应用参考。
How to accurately locate underwater buried targets using acoustic detection methods is an important basic scientific and technological problem that needs to be solved urgently.The normal mode theory and Pekeris waveguide were used to calculate the sound pressure field.The conventional matching field processing(CMFP),the adaptive matching field processing(AMFP)and the compressive sensing matching field processing(CS-MFP)were programmed.In the two-dimensional plane,the effects of three matching field localization algorithms were compared and analyzed.In the cylindrical coordinate,the AMFP algorithms was programmed to apply,and genetic algorithm was used to realize the global objective optimization of underwater buried targets.The results showed that AMFP is better than CMFP and CS-MFP in terms of localization accuracy and anti-interference ability.The three-dimensional accurate localization of underwater buried targets is realized.The localization error of the buried-target position parameters is less than 0.5%by the global objective optimization of genetic algorithm.All of which can provide a engineering application reference for acoustic localization of underwater buried targets.
作者
唐传茗
刘元雪
吴美苏
TANG Chuan-ming;LIU Yuan-xue;WU Mei-su(Dept.of Military Installations,Army Logistics Academy of PLA,Chongqing 401311,China;Chongqing Key Laboratory of Failure Mechanism and Protection of Facility in Plateau and Mountain Environment,Army Logistics Academy of PLA,Chongqing 401311,China;Chongqing Engineering Management Co.,Ltd.,Chongqing 400020,China)
出处
《船海工程》
北大核心
2025年第1期175-180,共6页
Ship & Ocean Engineering
基金
国家自然科学基金(41877219)
重庆市自然科学基金院士专项(CSTB2023YSZX-JCX0004,cstc2021yszx-jcyjX0002)。
