Industrial Technology Research Institute

Mediatek Corporation

Sheng-Po Kuo

Yu-Chee Tseng

Yueh-Feng Lee

Po-Yu Chen

Lun-Chia Kuo

Jen-Chieh Yang

Chao-Yu Chen

Chung-Chou Shen

Bing-Jhen Wu

Chi-Chung Lo

Jui-Hao Chu

An electronic device includes an application processor and a sensor hub, where the application processor is arranged for executing applications running on a system of the electronic device, and the sensor hub is arranged for obtaining and processing sensed data from a plurality of sensors within the electronic device. In addition, the application processor further downloads location data from a remote device via a network module, and at least a portion of the downloaded location data is further stored in a storage unit of the sensor hub to be reused for positioning.

Method for performing positioning operation and associated electronic device

A method for positioning a mobile device includes following steps. Based on a prior location point of the mobile device, many sample points are generated according to a prior probability distribution associated with the prior location point. A current moving track or a current moving status of the mobile device is obtained, and the sample points are updated according to at least one of the current moving track and the current moving status. A current estimated position is obtained based on a radio frequency signal received by the mobile device. A current probability distribution of the sample points corresponding to the radio frequency signal or the current estimated position is generated to obtain corresponding weights of the updated sample points. A current location point of the mobile device is obtained according to the weights and distribution of the sample points.

Method and apparatus for positioning mobile device

A positioning method includes: first, receiving wireless signals respectively at the positions of a number of training positions so as to extract a number of signal characteristics; next, establishing a positioning database according to the relationship between the training positions and the corresponding positioning module; then, classifying the training positions and the corresponding signal characteristics into a plurality of clusters, wherein when conducting positioning on a positioning node, a characteristic matching is conducted to find out a major cluster most similar to the positioning node; after that, conducting the characteristic matching between the positioning node and the training positions in the major cluster to decide a most-likely position of the positioning node. In addition, the present invention also provides a positioning system using the above-mentioned method.

Method and system for positioning

An algorithm of collecting and constructing training location data is provided as it is applied to a test space of a plurality of beacons and training locations. The signal patterns of beacons adjacent to each training location are detected. The signal pattern is converted into a signal vector and each signal vector is integrated for calculating a feature vector of each training location. The coordinate and the feature vector of each training location, after being recorded, are introduced into a numerical data fitting model for constructing the signal pattern function of each beacon. For positioning, the current signal patterns of the beacons adjacent to the user location are detected and converted to a discriminant function. Thereafter, the minimum of the discriminant function is computed so as to find the position of the user location.

Algorithm of collecting and constructing training location data in a positioning system and the positioning method therefor

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Taipei, Taiwan

Sheng-Po Kuo