Positioning and Sensing - MATLAB & Simulink (original) (raw)

AI for positioning and sensing

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

Featured Examples

Bluetooth LE Positioning with Deep Learning

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

(Bluetooth Toolbox)

• Since R2024b

AI for Positioning Accuracy Enhancement

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

(5G Toolbox)

• Since R2024a

Three-Dimensional Indoor Positioning with 802.11az Fingerprinting and Deep Learning

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

(WLAN Toolbox)

Detect Human Presence Using Wireless Sensing with Deep Learning

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

(WLAN Toolbox)