摘要
基于声表面波技术的射频识别系统具有广阔的应用前景,如何提高对多标签的识别能力成为系统应用需要解决的一个关键问题。本文提出采用智能天线技术来识别多个声表面波标签,利用标签的入射方向角(波达角)表示位置信息,运用多重信号分类(MUSIC)算法提取波达角,并根据波达角用最小输出能量准则和Lagrange乘子法自适应调整加权矢量,形成主波束分别指向待识别标签方向,恢复各个标签的信号用于解码。最后通过算法仿真和实验验证了方案的可行性。
Since surface acoustic wave （SAW） technique offers broad and new perspectives for radio frequency identification （ RFID）, it becomes one of the most important subjects to improve the multiple-tags identification capability in application. The paper suggests using smart antenna technology to identify multiple SAW ID-tags. First, the positions of tags are denoted by direction of arrivals （DOAs） , which can be calculated using multiple signal classification （MUSIC） algorithm. Then, based on the DOAs, weight vectors are adjusted using minimum output energy （MOE） rule and Lagrange method. Next, the principal beams are formed, which point to the directions of the tags to be identified respectively ; and the signals for different tags are recovered and used for decoding. Finally, algorithm simulation and experiments verify the feasibility of the proposed method.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2007年第8期1387-1392,共6页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(10304012)资助项目
