改进的RSSI质心定位算法

RSSI Centered Localization Algorithm

近年来,随着物联网技术的不断发展和基于位置的服务快速增长,室内定位技术已经得到了越来越广泛的关注。然而由于室内环境复杂多变,受反射,折射,衍射及多径衰减影响,使得无线信号波动较大,定位结果容易产生偏差。针对该问题,本文提出了改进的RSSI质心定位算法。本方法经过卡尔曼滤波器对原始信号去噪处理,由信号加权求出位置坐标,根据速度对位置来进行优化。通过仿真和实际测试结果表明,在实际室内环境中,改进的RSSI质心定位算法具有较高的定位精度。

With the rapid development of the network technology and the increasing location-based services, the indoor location system has become more and more attention. The accuracy of the method, which is based on received signal strength, would be inlfuenced by the propagation of the signal, which is due to refection, transmission, diffraction and multi-path fading. In order to solve the problem mentioned above, the paper proposes a RSSI-based weighted centered localization algorithm. The algorithm uses the kalman iflter de-noising on the original signal, from the signal weighted obtains position coordinates, according the speed to optimize the position. Simulation and experiment show that the algorithm has high location accuracy in typical indoor environment.