基于沙蝎定位猎物的仿生震源定位方法

doi:10.13229/j.cnki.jdxbgxb20161263

吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (2): 633-639.doi: 10.13229/j.cnki.jdxbgxb20161263

基于沙蝎定位猎物的仿生震源定位方法

王柯¹, 刘富^{1, 2}, 康冰¹, 霍彤彤¹, 周求湛^{1, 2}

1.吉林大学通信工程学院,长春 130022;
2.吉林大学汽车仿真与控制国家重点实验室,长春 130022

收稿日期:2016-11-22 出版日期:2018-03-01 发布日期:2018-03-01
通讯作者: 周求湛(1974-),男,教授,博士生导师.研究方向:微弱信号检测与估计,半导体噪声及可靠性关系,微振动探测及定位.E-mail:zhouqz@jlu.edu.cn
作者简介:王柯(1990-),女,博士研究生.研究方向:仿生震源定位.E-mail:wangke15@mails.jlu.edu.cn
基金资助:
国家自然科学基金项目(61503151); 总后装备预研项目(CZZ14R003); 吉林省省级产业创新专项项目(2017C032-4)

Bionic hypocenter localization method inspired by sand scorpion in locating preys

WANG Ke¹, LIU Fu^{1, 2}, KANG Bing¹, HUO Tong-tong¹, ZHOU Qiu-zhan^{1, 2}

1.College of Communication Engineering, Jilin University, Changchun 130022, China;
2.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

Received:2016-11-22 Online:2018-03-01 Published:2018-03-01

摘要/Abstract

摘要： 受沙蝎定位理论的启发,提出了一种新的仿生方法来解决震源信号定位问题。与传统方法不同的是,该仿生方法不需要提取信号到达的时间,而是通过一个脉冲发射模型间接提取时间信息。基于3/1构型的脉冲发射模型在兴奋与抑制相互作用下产生不同脉冲数,以此对震源信号进行脉冲编码,然后通过群向量编码计算得到目标方向。依据实际定位情况与生物进化的选择性,本文在沙蝎基跗节复合缝感受器(BCSS)的基础上对接收器的分布进行了改进,同时对改进前、后进行了对比,并且与常用的TDOA算法在仿真环境下进行了对比实验,结果表明,仿生方法在新的接收器分布下定位误差更小。为进一步验证仿生定位方法,共采集了76组真实数据,定位方向的平均误差为4.9310°。

关键词: 信息处理技术, 沙蝎, 震源定位, 脉冲发射模型, 群向量编码

Abstract: Inspired sand scorpions in locating their preys, a novel bionic localization method is proposed to solve the problem of vibration event localization. Different from commonly used methods, a spike firing model is introduced to solve the problem of arrival picking. Based on the 3/1 configuration, each spike firing model fires different number of spikes. The vibration signal is coded into spike signal for orientation of the target using population vector code. According to the actual situation and the selectivity of the biological evolution, the distribution of the receivers is modified and compared with that of before modification. Also the bionic method is compared with the TDOA method in simulation environment. The orientation errors of the bionic method are smaller than that of the TDOA method. In addition, location experiment is carried out in an open area. The average error of landing orientation is 4.9310° for 76 sets of data, satisfying the orientation requirement.

Key words: information processing technology, sand scorpions, hypocentral location, spike firing model, population vector code

中图分类号:

TP277

王柯, 刘富, 康冰, 霍彤彤, 周求湛. 基于沙蝎定位猎物的仿生震源定位方法[J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.

WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys[J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.

参考文献

[1] Zhebel O, Eisner L. Simultaneous microseismic event localization and source mechanism determination [J]. Geophysics, 2015, 80 (1): 1-9.
[2] Anikiev D, Valenta J, Stanek F, et al. Joint location and source mechanism inversion of microseismic events: benchmarking on seismicity induced by hydraulic fracturing [J]. Geophysical Journal International, 2014, 198 (1): 249-258.
[3] van Hemmen J L. Neuroscience from a mathematical perspective key concepts, scales and scaling hypothesis, universality [J]. Biological Cybernetics, 2014, 108 (5): 701-712.
[4] Li Y M, Li S, Ge Y J. A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments [J]. Neurocomputing, 2013, 104: 170-179.
[5] Jeong E S, Kim D E. Detecting the direction of vibration inspired by prey detection behavior of sand scorpions [J]. Journal of Institute of Control, Robotics and Systems, 2012, 18 (10): 947-954.
[6] Stürzl W, Kempter R, van Hemmen J L. Theory of arachnid prey localization [J]. The American Physical Society, 2000, 84 (24): 5668-5671.
[7] Adams S V, Wennekers T, Bugmann G, et al. Application of arachnid prey localisation theory for a robot sensorimotor controller [J]. Neurocomputing, 2011, 74 (17): 3335-3342.
[8] Garreau G, Proxenou E, Andreou A G, et al. Person localization through ground vibrations using a sand-scorpion inspired spiking neural network[C]∥ Proceedings of the 47th Annual Conference on Information Sciences and Systems (CISS) IEEE,Baltimore,MD USA,2013:1-4.
[9] Hodgkin A L, Huxley A F. A quantitative description of membrane current and its application to conduction and excitation in nerve [J]. The Journal of Physiology, 1952, 117 (4): 500-544.
[10] Brunel N, van Rossum M C W. Lapicque's 1907 paper: from frogs to integrate-and-fire [J]. Biological Cybernetics, 2007, 97 (5/6): 337-339.
[11] Brownell P, Farley R D. Detection of vibrations in sand by tarsal sense organs of the nocturnal scorpion, paruroctonus mesaensis [J]. Journal of Comparative Physiology A, 1979,131(1):23-30.
[12] Brownell P H, van Hemmen J L. Vibration sensitivity and a computational theory for prey-localizing behavior in sand scorpions [J]. Amerzool, 2001, 41(5):1229-1240.
[13] van Hemmen J L, Schwartz A B. Population vector code: a geometric universal as actuator [J]. Biological Cybernetics, 2008, 98 (6): 509-518.

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基于沙蝎定位猎物的仿生震源定位方法

Bionic hypocenter localization method inspired by sand scorpion in locating preys

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