Intelligent Dynamic Radio Tracking in Indoor Wireless Local Area Networks
Intelligent Dynamic Radio Tracking in Indoor Wireless Local Area Networks
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DOI：
10.1109/tmc.2009.141
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发表时间：
2010-03-01
影响因子：
7.9
通讯作者：
Venetsanopoulos, Anastasios N.
中科院分区：
文献类型：
--
作者：
Kushki, Azadeh;Plataniotis, Konstantinos N.;Venetsanopoulos, Anastasios N.
室内定位是一种在移动计算环境中提供基于位置的服务的使能技术。提出了一种室内无线局域网中利用接收信号强度进行定位的方案。在这一应用中，由于室内传播信道的复杂性，显式测量方程和相应的噪声统计是未知的。为了应对这些挑战，我们引入了一种新的状态空间贝叶斯过滤器：非参数信息(NI)过滤器。在卡尔曼滤波器及其变体不适用的情况下，该滤波器有效地跟踪运动，同时保持与卡尔曼滤波器相当的计算复杂性。针对室内传播环境的噪声特性，设计了一种智能动态无线局域网跟踪系统。该系统预测未来的位置值，并相应地调整其传感和估计参数。我们在实际办公环境中进行的实验结果表明，智能设计与NI滤波器的结合使卡尔曼滤波器和粒子滤波器的性能有了显著的改善。
Indoor positioning is an enabling technology for delivery of location-based services in mobile computing environments. This paper proposes a positioning solution using received signal strength in indoor Wireless Local Area Networks. In this application, an explicit measurement equation and the corresponding noise statistics are unknown because of the complexity of the indoor propagation channel. To address these challenges, we introduce a new state-space Bayesian filter: the Nonparametric Information (NI) filter. This filter effectively tracks motion in situations where the Kalman filter and its variants are inapplicable, while maintaining a computational complexity comparable to that of the Kalman filter. To deal with the noisy nature of the indoor propagation environment, the NI filter is used in the design of an intelligent dynamic WLAN tracking system. The system anticipates future position values and adapts its sensing and estimation parameters accordingly. Our experimental results conducted on measurements from a real office environment indicate that the combination of the intelligent design and the NI filter results in significant improvements over the Kalman and particle filters.