To extend the Integrated Sensing and Backscatter Communication (ISABC) system for more advanced sensing capabilities like target localization and tracking, several enhancements can be implemented:
Multiple Antenna Arrays: Incorporating multiple antenna arrays at the base station (BS) and the user/reader can improve spatial resolution for localization and tracking. By utilizing techniques like beamforming and spatial processing, the system can accurately determine the location and movement of targets.
Advanced Signal Processing: Implementing advanced signal processing algorithms such as Kalman filters, particle filters, and Bayesian inference can enhance the system's ability to track and predict the movement of targets based on received signals.
Machine Learning and AI: Integrating machine learning and artificial intelligence algorithms can enable the system to learn and adapt to dynamic environments, improving the accuracy of target localization and tracking over time.
Energy Harvesting Optimization: Optimizing the energy harvesting process at the backscatter tags can ensure a continuous and reliable power source for extended sensing and tracking operations.
Collaborative Sensing: Implementing collaborative sensing techniques where multiple tags work together to provide comprehensive environmental data can enhance the system's overall sensing capabilities.
By incorporating these enhancements, the ISABC system can evolve into a sophisticated platform capable of advanced target localization and tracking in diverse IoT applications.