CAJ | 학술논문

针对无线传感器网络中室外环境下的被动式目标定位问题，提出一种基于动态贝叶斯图的异构数据协同定位方法。该方法能够对异构无线网络数据相协调，完成目标被动式定位任务。首先深入分析了异构网络中可用于测距定位的三种基本被动式定位方法(基于信号强度模型，红外测距定位模型，粒子滤波定位)，总结归纳了各方法的适用特点。其次，利用动态贝叶斯图，协调两种方法适用特点，推导出大规模室外被动式定位模型。仿真结果表明，笔者提出的异构数据协同定位方法能够完成被动式定位要求，与其他定位方法相比，定位精度较已有方法有所提升。
침대무선전감기망락중실외배경하적피동식목표정위문제，제출일충기우동태패협사도적이구수거협동정위방법。해방법능구대이구무선망락수거상협조，완성목표피동식정위임무。수선심입분석료이구망락중가용우측거정위적삼충기본피동식정위방법(기우신호강도모형，홍외측거정위모형，입자려파정위)，총결귀납료각방법적괄용특점。기차，이용동태패협사도，협조량충방법괄용특점，추도출대규모실외피동식정위모형。방진결과표명，필자제출적이구수거협동정위방법능구완성피동식정위요구，여기타정위방법상비，정위정도교이유방법유소제승。
For the passive localization problem,a novel method called the heterogeneous data synergistic (HDS) based on the dynamic Bayesian network is proposed,which can coordinate heterogeneous data,and localize the target in the wireless sensor network (WSN). By comprehensively analyzing the three localization models (the signal strength model,the infrared ranging model and the particle filter) in the WSN,their characteristics are summarized in brief.According to the Bayesian network and the different characteristics,the HDS is designed under the dynamic deduction. Simulation results prove that the proposed method is adequate to the passive localization,and that compared with other traditional methods, the localization accuracy is greatly improved.