无线传感器网络中四元无线声阵列节点选择及目标定位算法

doi:10.3969/j.issn.1000-1093.2016.01.013

摘要/Abstract

摘要： 低成本、小型化的无线声传感器网络（WASN）的每个节点只配备一个麦克风而非麦克风阵列，针对随机抛撒的WASN区域外声源目标定位问题，依据声压衰减模型和几何定位机制，提出了四节点无线声阵列声源定位算法。在此基础上分析了声音衰减系数和阵列形状对定位精度的影响，进而选择以Y型阵列作为感知模型，当Y型阵列的中轴线与目标声源的夹角为60°～100°时，定位误差小于1 m. 依据仿真结果提出节点选择算法并进行了Y型阵列目标定位实验，结果表明，Y型无线声传感器阵列满足对无线传感器网络（WSN）抛撒区域外50 m处目标的预警需求。低成本、小型化的无线声传感器网络（WASN）的每个节点只配备一个麦克风而非麦克风阵列，针对随机抛撒的WASN区域外声源目标定位问题，依据声压衰减模型和几何定位机制，提出了四节点无线声阵列声源定位算法。在此基础上分析了声音衰减系数和阵列形状对定位精度的影响，进而选择以Y型阵列作为感知模型，当Y型阵列的中轴线与目标声源的夹角为60°～100°时，定位误差小于1 m. 依据仿真结果提出节点选择算法并进行了Y型阵列目标定位实验，结果表明，Y型无线声传感器阵列满足对无线传感器网络（WSN）抛撒区域外50 m处目标的预警需求。

关键词: 兵器科学与技术, 无线声传感器网络, 四元无线声传感器阵列, 节点选择, 目标定位

Abstract: Instead of using microphone array, each sensor node in the sensor network uses only a single microphone as its sensing device in low-cost and miniature wireless acoustic sensor network (WASN). According to the energy decay model and geometric positioning mechanism， an external acoustic source localization estimation method with four-node wireless microphone array is presented for the application in randomly deployed WASN. Major error sources, such as sound attenuation coefficient and array shape, of the localization method are analyzed, and Y-type array model is selected as sensing model. The location error is less than 1m when the angle between the central axis of Y-type array and the target is 60°～100°. A node selection algorithm is proposed, and the experiment of source localization is done. The experimental result shows that Y-type wireless acoustic array can warn about target at 50m away from the wireless sensor network（WSN）.

Key words: ordnance science and technology, wireless acoustic sensor network, four-node wireless acoustic array, node selection, source localization

中图分类号:

TN915.5

朱海洋，张合，马少杰，潘菡. 无线传感器网络中四元无线声阵列节点选择及目标定位算法[J]. 兵工学报, 2016, 37(1): 83-90.

ZHU Hai-yang， ZHANG He， MA Shao-jie， PAN Han. Node Selection and Source Localization of Four-node Wireless Acoustic Array in Wireless Sensor Network[J]. Acta Armamentarii, 2016, 37(1): 83-90.

参考文献

［1］于振华，付晓，王静，等. 基于声学无线传感器网络的目标跟踪系统研究[J]. 电子科技大学学报, 2011, 40(4): 568-572.
YU Zhen-hua, FU Xiao, WANG Jing, et al. On target tracking based on acoustic wireless sensor networks[J]. Journal of University of Electronic Science and Technology of China, 2011, 40(4): 568-572.（in Chinese）
[2] 张丽霞，汪文勇，李炯. 无线传感器网络的目标定位问题研究[J]. 电子科技大学学报, 2006, 35(2):239-241.
ZHANG Li-xia, WANG Wen-yong, LI Jiong. Research of object location by wireless sensor network[J]. Journal of University of Electronic Science and Technology of China，2006，35(2):239-241.（in Chinese）
[3] 夏娜，倪成春，徐朝农，等. 逆向捕获时间差的Voronoi声源定位机制[J]. 通信学报，2013, 34(11): 140-152.
XIA Na, NI Cheng-chun, XU Chao-nong, et al. Voronoi acoustic source localization mechanism based on counter captured time difference[J]. Journal of Communications, 2013, 34(11): 140-152. （in Chinese）
[4] Zhang J S, Walploa M, Roelant D, et al. Self-organization of unattended wireless acoustic sensor networks for ground target tracking[J]. Pervasive and Mobile Computing，2009,5(2)： 148-164.
[5] Nakamura K, Nakadai K, Asano F, et al. Intelligent sound source localization and its application to multimodal human tracking[C]∥Proceedings of 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS). San Francisco, US：IEEE，2011：143-148.
[6] 陈旿，孙建华，于振兴，等. 基于IEEE1588的无线传感器网络时钟同步方法[J]. 系统工程与电子技术, 2014, 36(3): 564-574.
CHEN Wu，SUN Jian-hua，YU Zhen-xing，et al. Clock synchronous method for wireless sensor networks based on IEEE 1588[J]. Systems Engineering and Electronics, 2014, 36(3): 564-574.（in Chinese）
[7] 王义君，钱志鸿，王桂琴，等. 无线传感器网络能量有效时间同步算法研究[J]. 电子与信息学报，2012，34(9)： 2174-2179.
WANG Yi-jun，QIAN Zhi-hong，WANG Gui-qin，et al. Research on energy-efficient time synchronization algorithm for wireless sensor networks[J]. Journal of Electronics & Information Technology, 2012, 34(9): 2174-2179.（in Chinese）
[8] Cheng L, Wu C D, Zhang Y Z, et al. A survey of localization in wireless sensor network[J]. International Journal of Distributed Sensor Networks，2012，4（1）: 1-12.
[9] Meng W, Xiao W D, Xie L H. An efficient EM algorithm for energy-based multisource localization in wireless sensor networks[J]. IEEE Transactions on Instrumentation and Measurement, 2011, 60(3): 1017-1027.
[10] Ampeliotis D, Berberidis K. Low complexity multiple acoustic source localization in sensor networks based on energy measurements[J]. Signal Processing, 2010,90(4): 1300-1312.
[11] Sheng X H, Hu Y H. Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks[J]. IEEE Transactions on Signal Processing, 2005, 53(1): 44-53.
[12] 朱明强，侯建军，刘颖，等. 基于自适应比例修正无迹卡尔曼滤波的目标定位估计算法[J]. 兵工学报, 2013, 34(5): 561-566.
ZHU Ming-qiang, HOU Jian-jun, LIU Ying, et al. Target locating estimation algorithm based on adaptive scaled unscented Kalman filter[J]. Acta Armamentarii, 2013, 34(5): 561-566.（in Chinese）
[13] 崔晓宗，仝杰，刘弢，等. 一种用于无线传感器网络的非线性最小二乘声源定位算法[J]. 计算机研究与发展, 2011, 48(S): 65-70.
CUI Xiao-zong, TONG Jie, LIU Tao, et al. A nonlinear least square acoustic source localization algorithm for wireless sensor networks[J]. Journal of Computer Research and Development, 2011, 48(S): 65-70.（in Chinese）
[14] Blatt D, Hero A Q. Energy-based sensor network source localization via projection onto convex sets[J]. IEEE Transactions on Signal Processing, 2006, 54(6): 36143619.
[15] 陈积明，张艳平，曹向辉，等. 基于声强的无线传感器网络目标跟踪方法研究[J]. 电子与信息学报, 2009, 31(11): 2791-2794.
CHEN Ji-ming, ZHANG Yan-ping,CAO Xiang-hui, et al. Acoustic energy based scheme for target tracking in wireless sensor networks[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2791-2794.（in Chinese）

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