低空声探测场可视化研究与实现
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- 英文论文题名：Low altitude acoustic detection visualization research and implementation
- 论文作者：李友增 ; 马杰 ; 陈全
- 英文论文作者：LI You-zeng ; MA Jie ; CHEN Quan ; Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology ; State Key Laboratory for Multi-spectral Information Processing Technologies.Huazhong University of Science and Technology
- 年：2016
- 作者机构：华中科技大学图像识别与人工智能研究所;多谱信息处理技术国家重点实验室;
- 论文关键词：目标检测 ; 声探测 ; 可视化
- 英文论文关键词：target detection ; acoustic detection ; visualization
- 会议召开时间：2016-09-17
- 会议录名称：2016年度声学技术学术会议论文集
- 语种：中文
- 分类号：TB52
- 学会代码：SXJS
- 会议名称：2016年度声学技术学术会议
- 会议地点：中国湖北武汉
- 主办单位：船舶振动噪声重点实验室、湖北省声学学会
- 学会名称：《声学技术》编辑部
- 页数：5
- 文件大小：550k
- 原文格式：D
- 会议级别：全国
摘要
目前,空中目标检测跟踪主要采用的是雷达探测。但是,在雷达探测领域中,多径效应严重影响低空(低仰角)目标的探测性能,甚至完全无法发现目标,使得飞机低空突防成为可能。因而在低空目标探测与追踪的研究中,利用无源探测传感器对目标进行识别、定位和跟踪成为了各国研究的热点。声探测场技术是利用声学理论与电子声传感器结合在一起,通过对声音信号的大小、频谱特性、相位特性进行分析,并根据实际的声阵列间的物理距离,利用数学理论进行计算推导,从而得到声目标的轨迹、速度等信息,为决策者服务。但是,目前声定位技术仍存在许多难点使得其停留在理论阶段。本文针从声信号采集、处理、显示等全方面介绍了声探测可视化的可行实施方案,填补了目前行业在具体使用和实现方面的空白。在不降低绘制速度的前提下,大大提高了可视化图像的真实感,在当前主流PC机上实现了低空声探测场的高效、逼真显示。
Currently air target detection and tracking is mainly used in radar. However, in the field of radar, multipath effects seriously affect low altitude(low elevation) target detection performance, or even impossible to find the target, making the aircraft low altitude penetration possible.Thus in the study of low-altitude target detection and tracking, the use of passive detection sensors for target location and tracking has become a hot research scholars from various countries.Acoustic detection technology is a technique combined of acoustic field theory and the electronic device receiving sound(acoustic sensors).According to the the actual physical distance between the acoustic array,we can use the sound signal magnitude, spectral characteristics and phase characteristics and mathematical derivation to obtain the target sound track, speed and other information services for decision-makers. However, the current sound positioning technology are still many difficulties and it stays in the theoretical stage. In this paper, we describe the method from every aspect such as sound signal acquisition, processing and display which fill the gaps in current industry specific use and implementation aspects. Without reducing the drawing speed of the premise, we improve the realism of the visual image greatly. we also achieve a high efficiency in the low altitude sound detection field on the current mainstream PC machine.
Currently air target detection and tracking is mainly used in radar. However, in the field of radar, multipath effects seriously affect low altitude(low elevation) target detection performance, or even impossible to find the target, making the aircraft low altitude penetration possible.Thus in the study of low-altitude target detection and tracking, the use of passive detection sensors for target location and tracking has become a hot research scholars from various countries.Acoustic detection technology is a technique combined of acoustic field theory and the electronic device receiving sound(acoustic sensors).According to the the actual physical distance between the acoustic array,we can use the sound signal magnitude, spectral characteristics and phase characteristics and mathematical derivation to obtain the target sound track, speed and other information services for decision-makers. However, the current sound positioning technology are still many difficulties and it stays in the theoretical stage. In this paper, we describe the method from every aspect such as sound signal acquisition, processing and display which fill the gaps in current industry specific use and implementation aspects. Without reducing the drawing speed of the premise, we improve the realism of the visual image greatly. we also achieve a high efficiency in the low altitude sound detection field on the current mainstream PC machine.
引文
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[3]冯大航,鲍明,管鲁阳,李晓东.一种恒虚警线谱检测算法研究[J].声学技术,2012,03:304-309.Feng Dahang,Bao Ming,Guan Luyang,Li Xiaodong.An algorithm of line-spectrum detection with constant false alarm rate[J].Technical Acoustics,2012,03:304-309.
[4]江冰,吴元忠,谢冬梅.无线传感器网络节点自定位算法的研究[J].传感技术学报,2007,06:1381-1385.Jiang Bin,Wu Yuanzhong,Xie Dongmei.Node Self-Localization Algorithms for Wireless Sensor Networks[J].,Chinese Journal of Sensors and Actuators,2007,06:1381-1385.
[5]宋强,何友,杨俭.基于UKF的目标状态与系统偏差的联合估计算法[J].弹箭与制导学报,2007,03:311-313+316.Song Qiang,He You,Yang Jian.An Augmented State Target Tracking Algorithm with Systematic Errors Based on the Unscented Kalman Filter[J].,Journal of Projectiles,Rockets,Missiles and Guidance,2007,03:311-313+316.
[6]Thurkmen I,Guney K.Cheap Joint Probabilistic Data Association with Neuro-Fuzzy Inference System State Filter for Tracking Multiple Targets in Cluttered Enviorment[J].International Journal of Electronics and Communications,2004:349-357
[7]朱晓钢,杨兵,许华杰.支持无线传感器网络多目标跟踪的聚类数据关联算法研究[J].计算机科学,2012,S1:24-27.Zhu Xiaogang,Yang Bing,Xu Huajie.Clustering Data Association Algorithm to Support Multi-target Tracking in WSN[J].Computer Science,2012,S1:24-27.
[8]Roecker J A,Phillis G L.A Class of Near Optimal JPDAAlgorithms[J].IEEE Transactions on Aerospace and Electronic Sys-tems,1994,30(2):504-510.
[9]Zhou B,Bose N K.Multitarget Tracking in Clutter:Fast Algotithms for Data Association[J].IEEE Transactions on Aerospace and Electronic Systems,1993,29(2).
[10]靳莹,杨润泽.声测定位技术的现状研究[J].电声技术,2007,02:4-8.Jin Ying,Yang Runze.Research Status and Prospect of the Acoustic Localization Techniques[J].Audio Engineering,2007,02:4-8.