中文摘要：

提出一种基于Wi Fi无线定位网络的能够满足相关应用精度需求的室内导览方法。该方法使用智能手机自身处理能力实时进行信号强度概率分布以及位置指纹匹配计算,使用基于动态权值的方法来对室内环境进行建模,引入加权线性公式组合推荐算法实现基于优化A＊算法的路线规划;同时给出了该方法应用于构建博物馆个性化导览系统的应用示例。实验结果表明该方法具有较高的定位精度和推荐准确率。所提室内导览方法具有通用性好和组网成本低的特点,能够较好地满足博物馆等室内导览系统应用需求,具备进一步进行商业化应用的潜力。

英文摘要：

This paper proposed a generic personalized indoor navigation schema based on Wi Fi network. The method implemented the localization process by using the fingerprint technology based on the probability distribution of the received signal strength（ RSS）. It adopted a novel modeling method that treated the indoor environment as a set of grids. Each grid contained multi-weight values that were given dynamically according to the interaction process. It used optimized A star algorithm for path planning with the hybrid personalized recommendation system. The system implemented a testing mobile App for Android with the features of indoor positioning,navigation and social components. The experimental evaluation presents a fine recommendation effectiveness and a high positioning accuracy,which can satisfy the requirements of personalized indoor navigation applications.