Evaluation performance of anti collision circuit based BSS method for RFID system

For Radio Frequency Identification (RFID) system, this paper presents an anti collision circuit design for fast of multi tags identification system. Principally, the authors use the Blind Signal Separation (BSS) method by the Independent Component Analysis (ICA) algorithm based computation of anti-collision circuit for speedily extracting the hidden factor of signal independence in neural network learning. Then, to reach the separation performance of BSS method, the design of the anti-collision circuit in the reader is based on the processing for more inputs of signal samples by one neuron hardware model of neural network through one multiplexer, which by means of a control circuit the original signal are estimated through one decoder. Thus, the performance results of the proposed approach is estimated since the speed rate of the anti-collision circuit provides numerical results, which evaluates the performance of an anti-collision circuit through the number of identified tags of RFID system.