摘要
为准确获得煤矿井下作业人员节点位置,提高事故现场逃生和救援效率,提出一种基于泰勒级数修正的RSSI无线传感网络渐变模型。根据井下复杂电磁环境中信号多径衰减和多普勒频移现象,利用泰勒级数修正影响因子,建立指纹数据库。在定位中通过指纹匹配找出邻居节点向量组合成立体球体,通过计算多重球体交集的不规则区域质心获得目的节点三维坐标。仿真实验证明,新模型可有效修正电磁环境对RSSI指纹特征的影响,实现了对井下作业人员的实时定位与轨迹追踪,三维定位结果快速精确,抗干扰能力强。
In order to realize the accurate location of the coal mine underground personnel nodes and improve the efficiency of escape and rescue at accident site,a gradual change model of RSSI wireless sensor network based on Taylor series correction is proposed.Accord to that multipath attenuation of signals and Doppler frequency shift in complex electromagnetic environment,Taylor series is used to correct the influence factors and establish fingerprint database.In the positioning,the vector combination of neighbor nodes is found by fingerprint matching to form a three-dimensional sphere,and the 3D coordinates of the destination node are obtained by calculating the centroid of the irregular region where multiple spheres intersect.Simulation experiments show that the new model can effectively correct the influence of electromagnetic environment on RSSI fingerprint characteristics,and realize the real-time positioning and trajectory tracking of underground workers.The three-dimensional positioning results are fast and accurate,and the anti-interference ability is strong.
作者
李锋
蔡宗唐
LI Feng;CAI Zongtang(School of Information,Guangdong Communication Polytechnic,Guangzhou 510650,China)
出处
《微处理机》
2020年第6期24-28,共5页
Microprocessors
基金
2020年广东省科技创新战略专项资金项目(攀登计划)(pdjh2020b0975)
广东省普通高校特色创新项目(2019GKTSCX037)。
