Improvement of Adaptability to RSSI-based Positioning System using Scaling Circle Method
Improvement of Adaptability to RSSI-based Positioning System using Scaling Circle Method
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DOI：
10.23919/sice56594.2022.9905809
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
Qizheng Yang;Hayato Fukunaga;Tong Li;S. Tateno
中科院分区：
文献类型：
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作者：
Qizheng Yang;Hayato Fukunaga;Tong Li;S. Tateno
近年来，定位系统被广泛应用于日常生活的许多部分，如旅游、野外勘探、山地救援等。户外定位技术主要有两种，即全球定位系统（GPS）和接收信号强度指示器（RSSI）。由于GPS依靠良好的卫星信号环境，一般在室外建筑物和树木较少的地方使用，因此RSSI近年来逐渐成为山区救援的热门。RSSI的优点是所有基于无线通信的系统都可以使用基于RSSI的定位方法，只要这些系统能够测量RSSI。这些定位方法都是将RSSI转换为距离，并将距离与信号接收器的位置相结合，来估计定位目标的协调性。但是，周围环境的噪声会使RSSI产生误差，影响定位结果。因此，在一定程度上减小噪声影响的预处理方法是必要的。提出了一种对原始RSSI数据进行预处理的方法。通过仿真和实验验证了该方法的有效性。
In recent years, positioning systems are widely used in many parts of daily life, such as travel, field exploration, mountain rescue and so on. There are two main outdoor positioning technologies, namely a global positioning system (GPS) and a received signal strength indicator (RSSI). Since the GPS, which is depending on a good satellite signal environment, is generally used in the outside where has little building and trees, the RSSI has gradually become popular in recent years for mountain rescue. The advantage of RSSI is that all systems based on wireless communication can use the RSSI-based positioning methods as long as these systems can measure the RSSI. These positioning methods all estimate the coordination of the positioning target by converting the RSSI into distance and combining the distance with the position of the signal receiver. However, the noise of the surrounding environment will cause errors in the RSSI and affect the positioning results. Therefore, a pre-processing method to reduce the influence of noise to a certain extent is considered necessary. In this paper, a method for raw RSSI data pre-processing is proposed. The effeteness of the method is confirmed through a simulation and several experiments.