电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2013年
11期
1465-1470
,共6页
无线通信%长期演进%定时同步%探测参考信号
無線通信%長期縯進%定時同步%探測參攷信號
무선통신%장기연진%정시동보%탐측삼고신호
wireless communication%long term evolution ( LTE )%timing synchronization%sounding refer-ence signal( SRS)
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。
研究瞭LTE繫統中探測參攷信號( SRS)的定時同步方法。由于基本的滑動相關算法和傳統的後嚮搜索算法不能有效地消除相關過程中徬瓣峰值的影響,不適用于SRS的定時同步。因此,針對SRS的時頻結構特點,提齣一種改進的後嚮搜索算法。該方法通過將本地序列與接收序列在時域上相關得到定時度量函數,併重新定義門限值,通過結閤門限和新的搜索技術來確定第1徑的位置,從而得到正確的定時採樣點。倣真結果錶明,所提方法的估計性能優于滑動相關算法和傳統的後嚮搜索算法,有效地消除瞭徬瓣峰值的影響,提高瞭SRS的正確定時概率。相比傳統的後嚮搜索算法,所提方法的估計性能提高瞭6倍左右。
연구료LTE계통중탐측삼고신호( SRS)적정시동보방법。유우기본적활동상관산법화전통적후향수색산법불능유효지소제상관과정중방판봉치적영향,불괄용우SRS적정시동보。인차,침대SRS적시빈결구특점,제출일충개진적후향수색산법。해방법통과장본지서렬여접수서렬재시역상상관득도정시도량함수,병중신정의문한치,통과결합문한화신적수색기술래학정제1경적위치,종이득도정학적정시채양점。방진결과표명,소제방법적고계성능우우활동상관산법화전통적후향수색산법,유효지소제료방판봉치적영향,제고료SRS적정학정시개솔。상비전통적후향수색산법,소제방법적고계성능제고료6배좌우。
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.