微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2014年
23期
72-74
,共3页
BVIRE%参考标签%定位精度%阈值%环境影响因子
BVIRE%參攷標籤%定位精度%閾值%環境影響因子
BVIRE%삼고표첨%정위정도%역치%배경영향인자
BVIRE%reference tag%position accuracy%threshold%environmental factors
在 BVIRE算法的基础上，利用阈值与定位标签的权值因子取倒数的方法，来排除误差大的邻近参考标签。实验表明，新算法在整体定位精度上提高了18%。分析算法的环境影响因子,得出该新算法在路径损耗指数 n=1.8，虚拟标签网格数 N=5，阈值为 TH=2时为最佳适用环境。
在 BVIRE算法的基礎上，利用閾值與定位標籤的權值因子取倒數的方法，來排除誤差大的鄰近參攷標籤。實驗錶明，新算法在整體定位精度上提高瞭18%。分析算法的環境影響因子,得齣該新算法在路徑損耗指數 n=1.8，虛擬標籤網格數 N=5，閾值為 TH=2時為最佳適用環境。
재 BVIRE산법적기출상，이용역치여정위표첨적권치인자취도수적방법，래배제오차대적린근삼고표첨。실험표명，신산법재정체정위정도상제고료18%。분석산법적배경영향인자,득출해신산법재로경손모지수 n=1.8，허의표첨망격수 N=5，역치위 TH=2시위최가괄용배경。
Based on the BVIRE algorithm, this paper uses the method of threshold and taking the weighting factor reciprocal of location labels to exclude large error labels. Experiments show that the overall positioning accuracy of the new algorithm has been improved by 18%. Discussing the environmental impact factor of the algorithm conclude that the best suitable environment of the new algorithm is when the path loss index n = 1.8, virtual label grid number N = 5, and the threshold of TH = 2 .
