| 基于接收信号强度测量的室内定位算法 |
| |
| 引用本文： | 倪巍,王宗欣. 基于接收信号强度测量的室内定位算法[J]. 复旦学报(自然科学版), 2004, 43(1): 72-76 |
| |
| 作者姓名： | 倪巍 王宗欣 |
| |
| 作者单位： | 复旦大学,通信科学与工程系,上海,200433;复旦大学,通信科学与工程系,上海,200433 |
| |
| 基金项目： | 国家自然科学基金资助项目(60172021) |
| |
| 摘 要： | 首先对现有的“路径-损耗”模型进行了修正,引入距离估计误差随机变量,由于其一般误差较小,不足以改变现有的模型中遮蔽因子的概率密度函数,所以遮蔽因子仍然满足正态分布．然后,推导了一种迭代最大似然估计算法,通过有限次的迭代,可以将由遮蔽因子导人的误差减小到一定程度,并得到令人满意的用户位置的估计结果．模拟表明,该方法可以提供较高的精度。
|
| 关 键 词： | 通信技术 接收信号强度 " 距离-损耗" 模型 最大似然估计 定位算法 遮蔽因子 |
| 文章编号： | 0427-7104(2004)01-0072-05 |
An Indoor Location Algorithm Based on the Measurement of the Received Signal Strength |
| |
| NI Wei,WANG Zong-xin. An Indoor Location Algorithm Based on the Measurement of the Received Signal Strength[J]. Journal of Fudan University(Natural Science), 2004, 43(1): 72-76 |
| |
| Authors: | NI Wei WANG Zong-xin |
| |
| Abstract: | Inserting a random variable distance estimation error into the "distance-loss" model results in solvable equations with maximum-likelihood algorithm. The estimation error is too small to change the distribution of log-normal shadowing factor in the model. Therefore an iterative method is introduced to reduce the influence of shadowing and the location estimation based on the received signal strength will be improved. Simulations show that this algorithm is effective. |
| |
| Keywords: | communication technology,received signal strength (RSS)," distance-loss" model,maximum-likelihood(ML) estimation,location algorithm,shadowing factor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
