Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, 90110, Thailand.
Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, 90110, Thailand.
Med Biol Eng Comput. 2022 Feb;60(2):439-458. doi: 10.1007/s11517-021-02489-6. Epub 2022 Jan 6.
In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from two stationary reference nodes located at the different sides of the corridor are proposed. A filter with its optimal weight value is also applied to smoothen and increase the accuracy of estimated position results (i.e., the x-position in the corridor). Additionally, a determination approach for finding the optimal parameters assigned for the proposed tracking methods and the filter are also introduced. The proposed methods are implemented in MATLAB/Simulink, and experiments using a 2.4 GHz, IEEE 802.15.4/ZigBee wireless network have been carried out in the indoor corridor of the hospital building. Experimental results obtained from the corridor size of 22 m demonstrate that our proposed methods can automatically and efficiently track the moving target in real time. The average distance errors, in the case of varying and manual tuning the optimal parameters of the proposed methods and the filter, reduce from 5.14 to 1.01 m and 4.55 to 0.86 m (i.e., two test cases; slow moving speed and double moving speed). Here, the errors decrease by 80.35% and 81.10%, respectively. For the case using the optimal parameters determined by the optimization approach, the average errors can reduce to 0.97 m for the first test case and 0.78 m for the second test case, respectively. An RSSI-based real-time tracking system for a moving target in an indoor corridor of the hospital building.
本文提出了一种基于接收信号强度指示(RSSI)的医院室内走廊环境目标跟踪系统的实现和验证。提出了使用位于走廊两侧不同位置的两个固定参考节点测量的 RSSI 信号对移动目标(即设备、机器人或人员)进行跟踪的六种方法。还应用了具有最佳权重值的滤波器来平滑和提高估计位置结果(即走廊中的 x 位置)的准确性。此外,还介绍了一种确定最佳参数的方法,这些参数分配给所提出的跟踪方法和滤波器。所提出的方法在 MATLAB/Simulink 中实现,并在医院建筑的室内走廊中使用 2.4GHz、IEEE 802.15.4/ZigBee 无线网络进行了实验。从 22m 走廊尺寸获得的实验结果表明,我们提出的方法可以实时自动有效地跟踪移动目标。在变化和手动调整所提出的方法和滤波器的最佳参数的情况下,平均距离误差从 5.14m 降低到 1.01m 和 4.55m 降低到 0.86m(即两个测试用例;移动速度较慢和移动速度加倍)。在这里,误差分别降低了 80.35%和 81.10%。对于使用优化方法确定的最佳参数的情况,对于第一个测试用例,平均误差可以降低到 0.97m,对于第二个测试用例,平均误差可以降低到 0.78m。医院建筑室内走廊中移动目标的基于 RSSI 的实时跟踪系统。