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云南民族大学 电气信息工程学院,云南 昆明 650500
[ "吴海锋(1977-),男,云南昆明人,博士,云南民族大学教授,主要研究方向为RFID技术、通信信号处理。" ]
[ "曾玉(1981-),女,安徽无为人,云南民族大学讲师,主要研究方向为多址接入通信。E-mail:yv.zeng@gmail.com。" ]
网络出版日期:2015-02,
纸质出版日期:2015-02-25
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吴海锋, 曾玉. 物理层的超高频RFID标签信号分离[J]. 通信学报, 2015,36(2):20-28.
Hai-feng WU, Yu ZENG. Passive UHF tag collision resolution on PHY layer[J]. Journal on communications, 2015, 36(2): 20-28.
吴海锋, 曾玉. 物理层的超高频RFID标签信号分离[J]. 通信学报, 2015,36(2):20-28. DOI: 10.11959/j.issn.1000-436x.2015030.
Hai-feng WU, Yu ZENG. Passive UHF tag collision resolution on PHY layer[J]. Journal on communications, 2015, 36(2): 20-28. DOI: 10.11959/j.issn.1000-436x.2015030.
提出一种分离冲突信号算法,先用动尺度变换将冲突信号变换至时—尺域并得到变换矩阵,然后由最小二乘和最小均方误差准则将冲突信号分离以检测标签信号。仿真结果表明,相比传统标签分离方法,所提方法仅采用单接收天线就可分离2个以上冲突标签信号,并在无捕获效应下也具有良好分离性能。
An algorithm was proposed to separate the collided signals on the PHY layer.The proposed algorithm firstly adopts a dynamic-scale transformation to transform the collided signals to time-scale domains.And then
a transforming matrix would be obtained from the transformation.Finally
least square and minimum mean square error criterion are utilized to separate the collided tag signals.Simulation results show that
in contrast to the conventional signal separation approaches
the proposed algorithm can separate more than two tag signals under single-antenna condition and have better performance of separation even without capture effect.
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