分析了自适应Q值算法的防碰撞原理以及射频识别(RFID)通信的时序,定义防碰撞过程的识别效率、识别速度和标签数目及Q值的数据状态(Q,n).在此基础上讨论并建立了多标签的状态转移过程的马尔科夫链模型.通过蒙特卡罗统计方法,对马尔科夫链模型求解,得出识别效率和识别速度.用软件无线电测试方案实现防碰撞测试,有效地实现了RFID防碰撞过程的识别效率和识别速度的量化分析.模型仿真结果和测试数据的一致证明了测试模型的有效性和测试方法的正确性.
The anti-collision theory of adaptive Q algorithm and radio frequency identification ( RFID) communication timing sequence were analyzed. Then a Markov chain model for simulating multi-tag identification process was established based on the following three definitions. The definitions are identifying efficiency,identifying speed and data state( Q,n), where n is the total remanent tag number,and Q is the slot count. The identifying efficiency and speed were obtained from the model using Monte Carlo statistical method. A software-defined radio program was built to simulate the collision of RFID which could quantify the identifying efficiency and speed effectively. The consistency of model simulation result and test data proves the validity of the model and test method.