Wireless Indoor Positioning System Based on Kalman Filtering Algorithm
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    Abstract:

    This paper is mainly concerned with finding ways to resolve the signal inaccuracy problem in indoor wireless positioning system which based on receiving signal strength (RSS). It introduced a kind of kalman filtering algorithm which based on fuzzy adaptive control. This filter method cannot only effectively suppress the error of positioning data information, but is also able to make full use of linear interpolation method to compensation stochastic error. Experiments show that it can effectively improve the positioning accuracy against stationary and moving target, and can more full satisfy the complex interior space positioning demand.

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曹春萍,罗玲莉.基于卡尔曼滤波算法的室内无线定位系统.计算机系统应用,2011,20(11):76-79

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  • Received:March 20,2011
  • Revised:May 03,2011
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