基于声干涉特征匹配的水中目标运动分析研究

doi:10.3969/j.issn.1000-1093.2019.05.017

兵工学报 ›› 2019, Vol. 40 ›› Issue (5): 1038-1049.doi: 10.3969/j.issn.1000-1093.2019.05.017

基于声干涉特征匹配的水中目标运动分析研究

徐国军^1，2，张林^1，2，韩梅^1，2，范培勤^1，2

（1.海军潜艇学院二系，山东青岛 266199； 2.青岛海洋科学与技术试点国家实验室，山东青岛 266237）

收稿日期:2018-07-16 修回日期:2018-07-16 上线日期:2019-07-26
通讯作者: 韩梅（1967—），女，教授，硕士生导师 E-mail:hantanxin@163.com
作者简介:徐国军（1983—），男，助理研究员，博士研究生。 E-mail: gjxu@qnlm.ac
基金资助:
国防科技创新特区项目（18-H863-05-ZT-001-012-06）

Research on the Underwater Target Motion Analysis Based on Acoustic Field Interference Feature Match

XU Guojun^1，2, ZHANG Lin^1，2, HAN Mei^1，2, FAN Peiqin^1，2

(1.The Second Department, Navy Submarine Academy, Qingdao 266199, Shandong, China; 2.Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, Shandong, China)

Received:2018-07-16 Revised:2018-07-16 Online:2019-07-26

摘要/Abstract

摘要： 针对水中目标运动分析问题，提出一种基于目标辐射声场距离-频率谱干涉条纹特征匹配分析的目标运动要素估计方法。以目标初距和目标瞬距为循环观测因子，结合两方位-两距离目标运动要素计算方法，获取当前假设下目标距离特征量和目标方位计算值；依据目标辐射噪声时间-频率谱干涉结构计算的目标距离特征量信息，构造距离特征量匹配代价因子，实现目标运动解要素。仿真数据与试验数据验证结果表明：该方法在绘制的目标运动要素解空间可视化分布图中，可有效估计目标初距、航向和航速信息，显著改善目标运动参数的估计速度和精度。

关键词: 水中目标运动分析, 声干涉特征匹配, 距离-频率谱, 时间-频率谱, 距离特征量, 匹配处理

Abstract: A method of target motion parameters estimation based on the feature matching analysis of range-frequency spectrum interference fringes of target radiated noise is studied for the underwater target motion analysis. The feature quantity of target distance and the target azimuth under the current hypothesis are obtained using the calculation method of the target motion elements of two azimuths and two distances by taking the target initial and instantaneous distances as the cyclic observation factors. The matching cost factor of distance feature is constructed based on the target distance feature information calculated by time-frequency spectrum interference structure of target radiated noise, and the spatial visualization of target motion elements solution is realized. The simulated and experimental results show that the high accuracy information of initial distance, course and velocity of target can be clearly estimated in the spatial distribution map of target motion elements solution. The method can significantly improve the estimated speed and accuracy of the target motion elements. Key

Key words: underwatertargetmotionanalysis, acousticfieldinterferencefeaturematch, range-frequencyspectrum, time-frequencyspectrum, distancefeaturequantity, matchingprocessing

中图分类号:

TB566

徐国军，张林，韩梅，范培勤. 基于声干涉特征匹配的水中目标运动分析研究[J]. 兵工学报, 2019, 40(5): 1038-1049.

XU Guojun, ZHANG Lin, HAN Mei, FAN Peiqin. Research on the Underwater Target Motion Analysis Based on Acoustic Field Interference Feature Match[J]. Acta Armamentarii, 2019, 40(5): 1038-1049.

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基于声干涉特征匹配的水中目标运动分析研究

Research on the Underwater Target Motion Analysis Based on Acoustic Field Interference Feature Match

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