基于四节点RSSI的三维空间定位算法

Approach for 3D Localization Based on RSSI of 4 Nodes

摘要:

针对提高室内三维空间的定位精度和速度的问题,从减少节点数量、建立特定坐标系的角度提出了一种基于四节点和特定坐标系的三维空间定位算法;该算法引入位置相对固定的4个节点,提高解算速度；充分考虑有效反射区对衰减指数影响,根据伯鲁斯特角将天线辐射场区分为叠加加强区和叠加减弱区,建立三维坐标系进行定位,结合信号强度指示(received signal strength indicator, RSSI)衰减模型,在叠加减弱区定位,把三维空间问题转化到二维空间,降低定位算法的复杂度;文中分别阐述方法的原理与验证,结果表明,四节点定位算法的解算速度比降低复杂度(complexity-reduced trilateration approach , COLA)定位算法有较大提高,该算法平均定位误差小于2米。

Abstract:

JP+1]To improve the positioning accuracy and speed of the indoor three dimensional space . From the perspective of decrease the number of node and establish certain coordinate system, this paper puts forward an algorithm for 3D localization based on RSSI attenuation model of 4 Wi-Fi nodes. The algorithm is introduced into four nodes location relatively fixed to improve the decoding speed. Fully considering the effective reflection area affect attenuation index. According to the Brewster's Angle, antenna radiation area can be divided into strengthening area and superposition weakened zone. Construct a three dimensional coordinate system for positioning and combined with the RSSI model, to obtain the indoor three-dimensional coordinates in superposition of weakened zone. This algorithm converses a three-dimensional space problem to two-dimensional space. This paper introduces the principle and verification of the method respectively. The results show that the calculating speed of this algorithm than COLA is improved greatly. The average position error is less than 2 meters.