| 基于RSSI修正加权质心的定位算法 |
| |
| 引用本文： | 白梦如,徐钊,郑红党.基于RSSI修正加权质心的定位算法[J].计算机系统应用,2017,26(2):124-128. |
| |
| 作者姓名： | 白梦如 徐钊 郑红党 |
| |
| 作者单位： | 中国矿业大学 信息与电气工程学院, 徐州 221008,中国矿业大学 信息与电气工程学院, 徐州 221008,中国矿业大学 信息与电气工程学院, 徐州 221008 |
| |
| 摘 要： | 研究了适用于室外空间的修正加权质心定位算法，该算法对接收信号强度指示测距原理进行分析，可在未知路径衰落指数的情况下，将距离关系转化为接收功率关系，通过高斯滤波处理得到RSSI测量距离，将其倒数作为修正加权质心定位的加权因子；加权质心算法讨论了调整修正系数对算法定位精度的影响，通过比较分析得出室外环境时理想的修正系数.通过仿真实验表明，改进后算法动态调整系数为4时，定位精度最高为0.5190m，可以满足实际定位需求.
|
| 关 键 词： | RSSI定位算法 高斯滤波 衰减指数 调整系数 质心定位 |
| 收稿时间： | 2016/3/7 0:00:00 |
| 修稿时间： | 2016/10/10 0:00:00 |
Location Algorithm Based on RSSI Modified Weighted Centroid |
| |
| BAI Meng-Ru,XU Zhao and ZHENG Hong-Dang.Location Algorithm Based on RSSI Modified Weighted Centroid[J].Computer Systems& Applications,2017,26(2):124-128. |
| |
| Authors: | BAI Meng-Ru XU Zhao and ZHENG Hong-Dang |
| |
| Affiliation: | College of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China,College of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China and College of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China |
| |
| Abstract: | The modified weighted centroid location algorithm applying to outdoor is proposed. The algorithm analyses the measure principle of Received Signal Strength Indication (RSSI), in the case of unknown path decline index, which can convert the distance relation to the received power relations. In addition, the RSSI measure distance is obtained by the Gauss filtering, and the inverse is used as the weighting factor of the modified weighted centroid localization. The weighted centroid algorithm discusses the impact on the precision resulting from the adjustment coefficient. The ideal correction factor of the outdoor environment is obtained through the comparative analysis. The simulation experiments show that the best location accuracy of the improved algorithm is 0.5190m enough to meet the actual location demand when the dynamic adjustment coefficient is 4. |
| |
| Keywords: | RSSI positioning algorithm Gaussian filter decline index adjustment coefficient centroid localization |
|
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
