RSSI和PC-CSI加权融合的指纹定位方法

针对基于RSSI和CSI的指纹定位技术易受环境干扰、定位精度较低的问题，提出了一种基于RSSI指纹和相位修正信道状态信息(phase correct based channel state information, PC-CSI)指纹的加权融合指纹定位技术。基于PC-CSI的指纹定位在传统基于CSI幅值的指纹定位基础上增加相位信息对定位结果进行修正，之后对RSSI指纹和PC-CSI指纹的定位结果加权重定位。实验结果表明，提出的加权融合指纹定位算法与基于CSI的主动定位算法相比，平均定位误差(mean position error，MPE)降低了36.2%，能满足室内定位需求。

Weighted fusion fingerprint localization based on RSSI and PC-CSI

To meet the demand for indoor positioning, WiFi-based indoor positioning technologies have emerged, mainly including fingerprint positioning technologies based on received signal strength indicator (RSSI) and channel state information (CSI). The existing RSSI and CSI-based fingerprint localization techniques are susceptible to environmental interference and have low localization accuracy. In this paper, we propose a weighted fusion fingerprint localization technique based on RSSI fingerprints and phase correct based channel state information (PC-CSI) fingerprints. The PC-CSI fingerprint localization adds phase information to the traditional CSI amplitude-based fingerprint localization to correct the localization results, and then the localization results of RSSI fingerprint and PC-CSI fingerprint are weighted and repositioned. Experimental findings demonstrate a 36.2% reduction in mean position error (MPE) compared to CSI-based active localization methods, showcasing the efficacy of our proposed approach in meeting indoor positioning requirements.