通信学报2011，Vol.32Issue(10)：158-165,8.
基于二元传感器网络的多源定位研究
Multi-source localization with binary sensor networks
摘要
Abstract
A new multi-source detection model was proposed based on Neyman-Pearson criterion to reduce the computational complexity caused in the multi-source localization. The Fisher criterion was employed to divide sensors into two parts, where two sources were present and each part corresponds to one of the sources. The WSNAP (weighted subtract on negative add on positive) multi-source location algorithm was applied to localize the multiple sources. The simulation results show that Fisher criterion is able to divide the alarmed sensor into two parts with relatively higher accuracy. The proposed WSNAP has better estimation accuracy than AP (add positive) algorithm and CE (centroid estimator) algorithm under the circumstance of lower computation complexity. Finally, the results are verified using the database of distributed wireless sensor networks.关键词
无线传感器网络/多目标定位/二元传感器/Neyman-Pearson准则/Fisher准则Key words
wireless sensor networks/ multi-source localization/ binary sensor/ Neyman-Pearson criterion/ Fisher criterion分类
信息技术与安全科学引用本文复制引用
程龙,吴成东,张云洲,贾子熙,纪鹏..基于二元传感器网络的多源定位研究[J].通信学报,2011,32(10):158-165,8.基金项目
国家自然科学基金资助项目(60874103) （60874103）
机器人学国家重点实验室开放课题基金资助项目(RLO200913) （RLO200913）
