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A Genetic Algorithm-Based Smart Antenna Technique for Anti-Collision of Multiple SAW ID-Tags
作者姓名:朱华  韩韬  吉小军  施文康
作者单位:Dept.of Instruments Science and Eng. Shanghai Jiaotong Univ.,Dept.of Instruments Science and Eng.,Shanghai Jiaotong Univ.,Dept.of Instruments Science and Eng.,Shanghai Jiaotong Univ.,Dept.of Instruments Science and Eng.,Shanghai Jiaotong Univ.,Shanghai 200240 China,Shanghai 200240 China,Shanghai 200240 China,Shanghai 200240 China
摘    要:In the radio frequency identification (RFID) system based on surface acoustic wave (SAW) technique, some tags often locate in the field of a transceiver at the same time. These tags produce simultaneous echo signals which "collide" when they arrive back at the transceiver, which leads to difficult identification. In this paper, smart antenna technique is presented to implement anti-collision in SAW RFID system. The direction of arrivals (DOAs) are used to denote the locations of tags, and genetic algorithm (GA) is suggested to find the optimal estimates of the DOAs in complex multimodal search spaces. Once the DOAs are obtained, the array weights are formed and the signals of tags are recovered to implement decoding. The experimental results show that the GA-based smart antenna technique works well in some occasions.


A Genetic Algorithm-Based Smart Antenna Technique for Anti-Collision of Multiple SAW ID-Tags
ZHU Hua,HAN Tao,JI Xiao-jun,SHI Wen-kang.A Genetic Algorithm-Based Smart Antenna Technique for Anti-Collision of Multiple SAW ID-Tags[J].Journal of Shanghai Jiaotong university,2007,12(4):501-507.
Authors:ZHU Hua  HAN Tao  JI Xiao-jun  SHI Wen-kang
Abstract:In the radio frequency identification (RFID) system based on surface acoustic wave (SAW) technique, some tags often locate in the field of a transceiver at the same time. These tags produce simultaneous echo signals which "collide" when they arrive back at the transceiver, which leads to difficult identification. In this paper, smart antenna technique is presented to implement anti-collision in SAW RFID system. The direction of arrivals (DOAs) are used to denote the locations of tags, and genetic algorithm (GA) is suggested to find the optimal estimates of the DOAs in complex multimodal search spaces. Once the DOAs are obtained, the array weights are formed and the signals of tags are recovered to implement decoding. The experimental results show that the GA-based smart antenna technique works well in some occasions.
Keywords:surface aconstic wave (SAW) tags  radio frequency identification (RFID)  smart antenna  direction of arrival (DOA)  genetic algorithm
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