协作室内定位优化算法

在三角质心定位算法的基础上,将协作的思想利用到室内定位方面.针对待测环境中含有两个待测节点的情况,设计出圆域型优化算法.通过仿真实验验证得出,在误差平均值方面,经过圆域型优化算法优化后的三角质心定位算法相对于传统三角质心算法的定位精度约提高11.62%.在优化误差最大值方面,经过圆域型优化算法优化后的三角质心定位算法相对于传统三角质心算法,误差约减小7.74%.在优化误差最小值方面,经过圆域型优化算法优化后的三角质心定位算法相对于传统三角质心算法,误差约减小22.66%.在优化程度方面,优化程度最高约为28.63%,最低约为0.05%.

An optimization algorithm of collaborative indoor locating

Based on triangular centroid locating algorithm,this paper will use the idea of collaboration to indoor locating system. On account of the condition which has two nodes to be located in the test environment,we have designed a circular type optimiza- tion algorithm. Verified simulation results show that the circular type optimization algorithm, compared with the triangular centroid locating algorithm, can decrease the average error by 11.62%, decrease the maximum error by 7.74% and decrease the minimum error by 22.66%. The maximum value of the optimize degree of the circular type optimization algorithm is 28.63% , and the mini- mum value of that is 0.05%.