Wireless signal-transmitting process is a complex procedure, to improve the indoor positioning accuracy, and this work proposes a novel indoor positioning technique based on receiving signal’s strength. First, the indoor environment of the building is regionalized in the training phase of indoor positioning. Then, the adjacent points of the indoor space with the same wireless signal transmission characteristics are gathered into the same area, and the corresponding parameter sets and decision domains of each area are constructed. After that, during the positioning stage, the regional confidence and receiving signal’s strength are used to predict the indoor area where the mobile station is located. Finally, the ranging and solution results of the traditional three-sided positioning process are constrained to obtain the optimal solution. Comparing with the traditional positioning techniques that regard the entire complex indoor environment as an entirety, the proposed indoor space regionalization preprocessing method can effectively reduce the ranging error. Compared with the indiscriminate data fusion of the centroid method, the data filtering method based on regional confidence is more targeted. In the experiment, a practical office area is used to test our proposal’s performance, and the experimental results show that our approach can effectively improve the accuracy of indoor positioning results.

中文翻译：

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一种基于接收信号强度的改进室内定位技术

无线信号传输过程是一个复杂的过程，要提高室内定位的精度，本文提出了一种基于接收信号强度的新型室内定位技术。首先，在室内定位训练阶段将建筑物的室内环境区域化。然后，将具有相同无线信号传输特性的室内空间的相邻点收集到同一区域中，并构造每个区域的对应参数集和决策域。之后，在定位阶段，区域置信度和接收信号的强度用于预测移动台所在的室内区域。最后，对传统三边定位过程的测距和求解结果进行约束，以获得最优解。与传统的将整个复杂室内环境视为整体的定位技术相比，本文提出的室内空间分区预处理方法可以有效地减少测距误差。与质心方法的不加区别的数据融合相比，基于区域置信度的数据过滤方法更具针对性。在实验中，使用一个实际的办公区域来测试我们的建议的性能，实验结果表明我们的方法可以有效地提高室内定位结果的准确性。基于区域置信度的数据过滤方法更具针对性。在实验中，使用一个实际的办公区域来测试我们的建议的性能，实验结果表明我们的方法可以有效地提高室内定位结果的准确性。基于区域置信度的数据过滤方法更具针对性。在实验中，使用一个实际的办公区域来测试我们的建议的性能，实验结果表明我们的方法可以有效地提高室内定位结果的准确性。