Determine Wi-Fi signal strength for sensor location using Kalman filters - Embedded.com

Determine Wi-Fi signal strength for sensor location using Kalman filters

Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity.

The Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target.

The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure.

In this paper, a sensor-based LF method is implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory.

Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.

To read this external content in full, download the full paper from the authors’ archive at the Hong Kong Polytechnic University.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.