The ALOHA algorithm is widely used in radio frequency identification(RFID) tag anti-collision algorithm. To improve the recognition efficiency of the algorithm, the frame length is adaptively adjusted according to the number of tags. Therefore, the accuracy of the tag number estimation is very important. The existing tag estimation schemes have problems of large error. This paper proposed an estimation algorithm of number of tags based on Newton iterative method(NIATE). Firstly, this algorithm assumed an adjustment factor by the relationship between the initial frame length and the estimated number of tags. Secondly, it analyzed the ratio of the successful slot to the total slots and obtained the relationship between the quantity relationship and the ratio. Finally, it used the Newton iteration method to obtain the accurate number of tags. The simulation results show that NIATE algorithm has better adaptive ability than the existing mainstream algorithms, the average error of tag estimation is smaller, which reduces the total number of slots and improves system throughput required to identify all tags.

[2021-01-05] Printed Article /doc/2019.08.0523/v2