Kalman filter iteratively performing time/measurement update of user/relative floor locations
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机译：卡尔曼滤波器迭代执行用户/相对楼层位置的时间/测量更新
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摘要
Several systems and methods for location estimation in a multi-floor environment are disclosed. In an embodiment, the method includes performing wireless scanning so as to receive wireless signals from one or more access points from among a plurality of access points positioned at plurality of locations, respectively at one or more floors from among a plurality of floors within the multi-floor environment. A first set of RSSI measurements is computed corresponding to the wireless signals. Absolute floor location information is determined based on the first set of RSSI measurements and a pre-defined objective function. The pre-defined objective function is configured to maximize a probability of a user being located at a floor so as to receive the wireless signals. A user floor location is determined based on the absolute floor location information. The user location is estimated at least in part based on the user floor location.
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