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为了减小RSSI波动和多径干扰对定位精度和稳定性的影响,提出了一种基于位置连续性的室内指纹定位改进算法.依据用户位置具有连续性的特点,应用室内布局结构来缩减指纹搜索空间,去除位置歧义点,在此基础上,采用基于改进的贝叶斯方法进一步提高定位计算的精度和稳定性.分析与实验表明,该算法能有效降低RSSI波动对定位的影响,提高精度,同时也降低了实时定位的计算开销.
In order to reduce the impact of RSSI fluctuation and multipath interference on the location accuracy and stability, an improved indoor fingerprint location algorithm based on location continuity is proposed.According to the continuity of user location, the indoor layout structure is used to reduce the fingerprint search Space and remove the position ambiguity points.On this basis, the improved Bayesian method is used to further improve the accuracy and stability of the location computation.The analysis and experiments show that the algorithm can effectively reduce the impact of RSSI fluctuations on the positioning, improve the accuracy, It also reduces the computational overhead of real-time positioning.