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基于改进粒子群算法的矢量水听器多目标方位估计

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为了研究单矢量水听器多目标方位估计能力,分别利用互谱声强法、MUSIC算法及信号统计量方法对多个目标方位进行估计.互谱声强法可以估计出多个不同频的单频目标方位,但对于频谱混叠的目标无法分辨;MUSIC算法可以分辨单频和宽带目标,但利用单矢量水听器最多可估计2个目标方位.为此,针对文章提出的信号统计量方法,构建了声压和振速的统计量模型,将其与粒子群优化算法及改进算法相结合,实现了基于改进粒子群算法的多目标方位估计.对多个单频和宽带信号目标进行仿真分析,结果表明,进粒子群算法具有良好的估计效果;对3种方法的估计结果进行比较,验证了改进粒子群算法有较好的适用性.通过对2022年千岛湖试验数据的处理再一次验证了算法的有效性.
Multi-Target Azimuth Estimation of Vector Hydrophone Based on Improved Particle Swarm Optimization Algorithm
In order to study the multi-target azimuth estimation capability of single vector hydrophone,cross-spectrum sound intensity method,MUSIC algorithm and signal statistics method are used to estimate multiple-target azimuth.The cross-spectrum sound intensity method can estimate the azimuth of multiple single-frequency targets with different fre-quencies,but can not distinguish the targets with spectral aliasing.The MUSIC algorithm can distinguish both single-frequency and wide-band targets,but it can estimate up to two target azimuths with a single-vector hydrophone.Therefore,based on the proposed signal statistics method,the statistical models of sound pressure and vibration velocity are con-structed,which are combined with particle swarm optimization algorithm and improved algorithm to realize the multi-target azimuth estimation based on improved particle swarm optimization algorithm.The simulation analysis of several single frequency and broadband signal targets shows that improved particle swarm optimization algorithm has a good esti-mation effect,and the estimation results of the three methods are compared to verify that improved particle swarm optimi-zation algorithm has a good applicability.The validity of the algorithm is verified once again by processing the data of the 2022 Qiandao Lake experiment.

single vector hydrophonesignal statisticsparticle swarm optimizationcross-spectral sound intensity methodMUSIC algorithm

黄兴雨、莫世奇、陈峰

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哈尔滨工程大学水声技术全国重点实验室,黑龙江 哈尔滨 150001

海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),黑龙江 哈尔滨 150001

哈尔滨工程大学水声工程学院,黑龙江 哈尔滨 150001

单矢量水听器 信号统计量 粒子群算法 互谱声强法 MUSIC算法

国家自然科学基金国家自然科学基金国家自然科学基金黑龙江省博士后科学基金黑龙江省自然科学基金优秀青年基金中央高校基本科研业务费专项中央高校基本科研业务费专项

522713435227134262301179LBH-Z22103YQ2023D0083072023CFJ05033072023CFJ0504

2024

10.7682/j.issn.2097-1427.2024.03.002

海军航空大学学报
海军航空工程学院科研部

海军航空大学学报

CSTPCD
影响因子：0.279
ISSN：
年,卷(期)：2024.39(3)