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机构地区:[1]电子科技大学通信抗干扰技术国家级重点实验室,成都611731
出 处:《电讯技术》2013年第11期1465-1470,共6页Telecommunication Engineering
基 金:国家自然科学基金资助项目(61001088);国家重大科技专项(2010ZX03002-010);中央高校基本科研基金项目(ZYGX2012J141);国家教育部博士点专项基金(20100185120007)~~
摘 要:研究了LTE系统中探测参考信号(SRS)的定时同步方法。由于基本的滑动相关算法和传统的后向搜索算法不能有效地消除相关过程中旁瓣峰值的影响,不适用于SRS的定时同步。因此,针对SRS的时频结构特点,提出一种改进的后向搜索算法。该方法通过将本地序列与接收序列在时域上相关得到定时度量函数,并重新定义门限值,通过结合门限和新的搜索技术来确定第1径的位置,从而得到正确的定时采样点。仿真结果表明,所提方法的估计性能优于滑动相关算法和传统的后向搜索算法,有效地消除了旁瓣峰值的影响,提高了SRS的正确定时概率。相比传统的后向搜索算法,所提方法的估计性能提高了6倍左右。This paper studies the timing synchronization method of Sounding Reference Signal (SRS) in the Long Term Evolution(LTE) system. Because the basic sliding correlation algorithm and the conventional backward search algorithm cannot effectively eliminate the influence of the side lobe peaks in the correla-ting process, these methods cannot apply to the SRS directly. Therefore, an improved backward search al-gorithm is proposed according to the time and frequency structure of the SRS. In the method, the timing metric function is obtained by the time domain correlation between local sequence and receiving sequence, and through a combination of new search technology and the redefined threshold the location of the first track and the correct time sampling point can be obtained. Simulation results show that estimation perform- ance of the proposed method is superior to the sliding correlation algorithm and the traditional backward search algorithm, it can effectively eliminate the influence of the side lobe peaks and improve the probabil-ity of correct timing of the SRS. Compared with the conventional backward search algorithm, the perform-ance of the proposed method is improved by about 6 times.
分 类 号:TN929.5[电子电信—通信与信息系统]
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