基于坐标修正的定位算法
Geometrical Location Algorithm Based on Position Correction

DOI: 10.12677/HJWC.2015.52009, PP. 61-69

Keywords: RSSI，定位算法，高斯滤波
RSSI, Location Algorithm, Gaussian Filter

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Abstract:

基于接收信号强度值(RSSI)的定位方法以其低功耗，低成本和较低的硬件复杂度等特点被越来越多的应用在室内无线定位中。但RSSI定位也有很多缺陷，如网络稳定性差，受到环境干扰大，从而导致较大的定位误差。对此，提出了一些改进算法。首先连续采集20次RSSI值，采用高斯滤波将干扰较大的样本滤除,然后通过几何算法得到节点坐标。最后提出一种新的修正算法对坐标进行修正。测试结果显示此方法可以将平均误差从2.6 m降低到约1.4 m，修正效果明显。
RSSI-based location method is increasingly used in indoor wireless positioning for its low power consumption, low cost and low hardware complexity. However, RSSI-based location also has many flaws, such as poor network stability, large environmental interference, leading to a large position error. For these, the paper puts forward an improved algorithm. First, we collect RSSI value 20 times using a Gaussian filter to filter out error sample and then get node coordinates by geometric algorithm. Finally, a new correction algorithm is proposed to correct coordinates. Test results show that this method can reduce the average error from 2.6 m to about 1.4 m; correction effect is obvious.

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