通信技术
通信技術
통신기술
COMMUNICATIONS TECHNOLOGY
2013年
3期
26-28
,共3页
田淑梅%张喜海%廉龙颖%宋一弘
田淑梅%張喜海%廉龍穎%宋一弘
전숙매%장희해%렴룡영%송일홍
无线传感网络%节点定位%复合信标%加权最小二乘法%扩展卡尔曼滤波
無線傳感網絡%節點定位%複閤信標%加權最小二乘法%擴展卡爾曼濾波
무선전감망락%절점정위%복합신표%가권최소이승법%확전잡이만려파
wireless sensor network%localization%complex beacon%weighted least squares estimation
及时准确的采集农田信息是精准农业的关键,节点定位问题也因此成为农田无线传感网络应用的核心问题,为解决此问题,这里提出了固定信标与移动信标的复合信标节点定位方法.使用装有 GPS或其他定位系统的移动装置,作为移动信标节点,同时在传感监控区域内加入不同数量的固定信标节点.该复合信标节点定位方法有效的提高了节点定位精度,同时提高了节点覆盖率.采用加权最小二乘法与扩展卡尔曼滤波相结合的算法,通过仿真结果分析了随着信标数的增多,平均定位误差明显减小;同时通过增大初始状态误差斜方差阵,可以很好抑制增大的初始误差对 EKF 滤波精度的影响.
及時準確的採集農田信息是精準農業的關鍵,節點定位問題也因此成為農田無線傳感網絡應用的覈心問題,為解決此問題,這裏提齣瞭固定信標與移動信標的複閤信標節點定位方法.使用裝有 GPS或其他定位繫統的移動裝置,作為移動信標節點,同時在傳感鑑控區域內加入不同數量的固定信標節點.該複閤信標節點定位方法有效的提高瞭節點定位精度,同時提高瞭節點覆蓋率.採用加權最小二乘法與擴展卡爾曼濾波相結閤的算法,通過倣真結果分析瞭隨著信標數的增多,平均定位誤差明顯減小;同時通過增大初始狀態誤差斜方差陣,可以很好抑製增大的初始誤差對 EKF 濾波精度的影響.
급시준학적채집농전신식시정준농업적관건,절점정위문제야인차성위농전무선전감망락응용적핵심문제,위해결차문제,저리제출료고정신표여이동신표적복합신표절점정위방법.사용장유 GPS혹기타정위계통적이동장치,작위이동신표절점,동시재전감감공구역내가입불동수량적고정신표절점.해복합신표절점정위방법유효적제고료절점정위정도,동시제고료절점복개솔.채용가권최소이승법여확전잡이만려파상결합적산법,통과방진결과분석료수착신표수적증다,평균정위오차명현감소;동시통과증대초시상태오차사방차진,가이흔호억제증대적초시오차대 EKF 려파정도적영향.
@@@@Timely and correct acquisition of field information is the key to implementing precision agriculture, and node localization thus becomes the core of farmland WSN (wireless sensor network) application. A complex beacon node localization in combination of fixed beacons and mobile beacons is proposed in this paper. By using mobile devices with GPS or other positioning system as mobile beacon node while adding different numbers of fixed beacon nodes to the sensing network, this localization algorithm could raise the coverage rate of network node and positioning accuracy effectively. Simulation indicates that this algorithm, in combination of weighted least squares estimation with EKF (Extended-Kalman Filter) could significantly reduce the average location error with the increasing of beacon numbers. Meanwile, the effect of the increasing initial error on accuracy of EKF filter could be efficiently constrained with the expansion of error oblique variance matrix.