Multipath Mitigation for Indoor Positioning with Empirical Mode Decomposition and Spatial Autoregressive Neural Network Methods

Key Points

• Enhanced accuracy in indoor positioning is achieved using spatial autoregressive neural network methods.
• Key improvements include a 25% reduction in error rates during multipath mitigation scenarios.
• Assessment involved analyzing signal data using empirical mode decomposition techniques for optimal results.
• This approach highlights the potential for improved indoor navigation systems, requiring further validation in diverse environments.