Positioning and Sensing

AI for positioning and sensing

These examples demonstrate AI techniques to perform high-precision wireless positioning and sensing.

Featured Examples

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Compute 3-D positioning of a Bluetooth LE node by using RSSI fingerprinting and CNN.

(Bluetooth Toolbox)

Use AI to estimate the position of user equipment and compare performance with traditional TDoA techniques.

(5G Toolbox)

Train a convolutional neural network for IEEE^® 802.11az™ localization and positioning.

(WLAN Toolbox)

Perform wireless sensing to detect human presence using a CNN and the channel state information in wireless local area networks.

(WLAN Toolbox)