An Improved Maximum a Posterior-Based Estimation Method Coping with Capture Effect for RFID Tags Identification

摘要

Capture effect is a very common phenomenon in wireless channel. By using capture effect, the collision tags can be identified in a certain probability, so the identification efficiency and speed of the system can be improved. In this paper, we extend the Maximum a Posterior probability method to capture effect environment and propose a novel tag anti-collision algorithm MAPCE for RFID tags identification. The proposed algorithm can not only estimate the number of tags, but also estimate the capture effect probability. Based on the estimation, we can derive the optimal frame length in the tag identification systems. The experimental results show that when the tags' number is larger than 600 and less than 1000, the proposed algorithm has lower computational complexity and lower estimation error rate.