基于水下无线传感器阵列网络多模态信息融合的目标定位  

Target Localization of UWSAN Based on Multi-Modal Information Fusion

作　　者：金磊磊[1] 梁红[1] 马艳[1] 

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《西北工业大学学报》2017年第6期1020-1025,共6页Journal of Northwestern Polytechnical University

基　　金：国家自然科学基金(61379007);水声对抗技术国防科技重点实验室基金资助

摘　　要：为了进一步提高海洋环境下无线传感器阵列网络(UWSAN)对被动目标三维定位的可靠性和定位精度,在推导多节点网络基于到达时间差(TDOA)定位和基于波达方向(DOA)定位的基础上,应用最小二乘原理,提出适用于UWSAN的TDOA-DOA多模态信息融合定位算法。通过计算机仿真将该信息融合算法与TDOA方法和DOA方法进行比较,结果表明,相对于单模态信息的定位算法,多模态信息融合算法的定位误差更小,性能更加稳定和可靠,具有实际的应用价值。We propose a new approach to improve the system reliability and positioning accuracy of underwater wireless sensor array network （UWSAN） based on multi-modal information fusion. In section 0, we analyze the inadequate of traditional single-mode target localization methods. In section 1, TDOA and DOA location algorithm adapted to multi-node network are deduced respectively, laying the foundation of multi-modal information fusion. In section 2, TDOA and DOA are fused by the principle of least square（LS） to get a novel passive target location algorithm, which we believe is effective. In section 3, simulations are performed to compare the positioning performance between information fusion algorithm, TDOA method and DOA method; the results, given in Fig.3 through 6, and their analysis show that our new approach based on multi-modal information fusion for multi-node UWSAN can indeed reduce the positioning error and enhance the robust of UWASN, which has a practical application value.

关 键 词：传感器阵列网络 到达时间差 波达方向 多节点 三维定位 最小二乘 多模态信息融合 鲁棒控制 目标跟踪 

分 类 号：TN911.7[电子电信—通信与信息系统]