基于短基线传感器阵列的炮弹被动测向算法

doi:10.7527/S1000-6893.2021.25139

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基于短基线传感器阵列的炮弹被动测向算法

屈秉男^1,2, 蒋平^1,2,3, 赵鲁阳¹, 李凤荣¹, 王营冠¹

1. 中国科学院上海微系统与信息技术研究所中国科学院无线传感网与通信重点实验室, 上海 201800;
2. 中国科学院大学, 北京 100049;
3. 上海科技大学信息科学与技术学院, 上海 201210

收稿日期:2020-12-22 修回日期:2021-01-11 出版日期:2022-03-15 发布日期:2021-02-24
通讯作者: 赵鲁阳 E-mail:bingnanq@163.com
基金资助:
中国科学院重点部署项目（KFJ-STS-ZDTP-089）

Passive direction finding algorithm of projectile based on short baseline sensor array

QU Bingnan^1,2, JIANG Ping^1,2,3, ZHAO Luyang¹, LI Fengrong¹, WANG Yingguan¹

1. Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. School of Information Science and Technology, Shanghai Tech University, Shanghai 201210, China

Received:2020-12-22 Revised:2021-01-11 Online:2022-03-15 Published:2021-02-24
Supported by:
Key Research Program of the Chinese Academy Sciences (KFJ-STS-ZDTP-089)

摘要/Abstract

摘要： 针对现有基于角度估计的无源被动探测技术不能满足远场高精度目标测向的问题，及现有被动探测传感器阵列在战场中需要大规模环绕布设的限制，采用基于经验模态分解（EMD）和短时能量特性分析的瑞雷波提取方法，结合时延双曲线定位模型提出免受波速影响的短基线传感器阵列被动测向方法。首先，在对传感器阵列获取的地震动信号进行信号特性分析基础上，基于EMD构建自适应分解去噪模型，提出基于信号短时能量特性的瑞雷波成分的抽取方法。其次，在对瑞雷波进行联合相关计算估计时延基础上，构建基于TDOA算法的时延双曲线模型，并提出基于四元十字短基线传感器阵列的DFA-WV算法，实现免受波速影响的炮弹信号高精度测向。最后，本文算法模型在仿真及靶场实弹试验得到验证，测试结果表明提取瑞雷波算法可为时延高准度估计提供效力，DFA-WV测向算法因摆脱波速估计值对测向结果的影响，相较于Chan算法及改进MPR算法具有更优的测向性能，且计算复杂度低，在实际野外靶场炮弹目标测向中具有工程应用价值。

关键词: 无源被动探测, 远场目标测向, 经验模态分解, 无波速影响, 短基线传感器阵列

Abstract: Existing non-source passive detection technologies based on angle estimation cannot meet the requirement for high-precision target direction finding in the far field, and existing passive detection sensor arrays are limited by requirement for large-scale surround deployment in the battlefield. To overcome these problems, a passive direction finding method, which is unaffected by the wave velocity, is proposed based on the short baseline sensor array, by combing the Rayleigh wave extraction method based on Empirical Mode Decomposition (EMD) and short-term energy characteristic analysis and the time delay hyperbolic positioning model. First, after analyzing the signal characteristics of the ground motion signals obtained by the sensor array, an adaptive decomposition and denoising model is constructed based on EMD, and a method for extracting Rayleigh wave components is proposed based on short-term energy characteristics of the signal. Second, based on the estimated time delay of wave joint correlation calculation, a time delay hyperbolic model is constructed based on the TDOA algorithm, and a DFA-WV algorithm based on the four-element cross short baseline sensor array is proposed to realize high-precision direction finding of the projectile signal without wave velocity estimation. Finally, the algorithm model proposed is verified in simulation and live-fire tests at the range. The results show that the Rayleigh wave extraction method proposed can provide high precision estimation of time delay, and the DFA-WV direction finding algorithm can eliminate the influence of estimation of wave velocity on direction finding results. Compared to the Chan algorithm and the improved MPR algorithm, the method proposed has higher direction finding performance and low computational complexity, and is thus applicable in projectile target direction finding in the actual field range.

Key words: non-source passive detection, far-field target positioning, empirical mode decomposition, no effect of wave velocity, short baseline sensor array

中图分类号:

屈秉男, 蒋平, 赵鲁阳, 李凤荣, 王营冠. 基于短基线传感器阵列的炮弹被动测向算法[J]. 航空学报, 2022, 43(3): 325139-325139.

QU Bingnan, JIANG Ping, ZHAO Luyang, LI Fengrong, WANG Yingguan. Passive direction finding algorithm of projectile based on short baseline sensor array[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(3): 325139-325139.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于短基线传感器阵列的炮弹被动测向算法

Passive direction finding algorithm of projectile based on short baseline sensor array

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