Application of a temporal convolutional network algorithm fused with channel attention module for UWB indoor positioning

Key Points

• Improved accuracy was achieved in indoor positioning applications through the use of the algorithm.
• Key evidence shows a notable enhancement in positioning precision as demonstrated by the data.
• Utilizing a temporal convolutional network fused with a channel attention module offers a robust solution for localization.
• This approach highlights the need for advanced algorithms in UWB positioning, suggesting further study is warranted.