长春理工大学学报(自然科学版)
長春理工大學學報(自然科學版)
장춘리공대학학보(자연과학판)
JOURNAL OF CHANGCHUN UNIVERSITY OF SCIENCE AND TECHNOLOGY(NATURAL SCIENCE EDITION)
2015年
1期
148-151,157
,共5页
通信技术%同步算法%频偏估计%Zadoff-Chu序列%半周期
通信技術%同步算法%頻偏估計%Zadoff-Chu序列%半週期
통신기술%동보산법%빈편고계%Zadoff-Chu서렬%반주기
Communication%Synchronization algorithm%Frequency offset estimation%Zadoff-Chu%Half-cycle
针对移动数字电视接收系统频偏估计算法存在的频偏估计均方差和误码率高等问题,提出了一种基于Zadoff-Chu (ZC)序列频偏估计算法。首先通过建立信号模型,利用仿真分析了载波频率偏差对接收系统影响;其次,信标结构中的两个同步信号以半周期形式选择ZC序列,1个导频符号序列由2个ZC序列构成。因此,接收端接收的2个符号是完全相同的ZC序列,通过对1个ZC序列半周期进行自相关运算并计算频偏值,即可以完成对整个周期符号的频偏估计。仿真结果表明,相比于其它算法,频偏估计均方差可降低20~30%,增益提升约2dB。
針對移動數字電視接收繫統頻偏估計算法存在的頻偏估計均方差和誤碼率高等問題,提齣瞭一種基于Zadoff-Chu (ZC)序列頻偏估計算法。首先通過建立信號模型,利用倣真分析瞭載波頻率偏差對接收繫統影響;其次,信標結構中的兩箇同步信號以半週期形式選擇ZC序列,1箇導頻符號序列由2箇ZC序列構成。因此,接收耑接收的2箇符號是完全相同的ZC序列,通過對1箇ZC序列半週期進行自相關運算併計算頻偏值,即可以完成對整箇週期符號的頻偏估計。倣真結果錶明,相比于其它算法,頻偏估計均方差可降低20~30%,增益提升約2dB。
침대이동수자전시접수계통빈편고계산법존재적빈편고계균방차화오마솔고등문제,제출료일충기우Zadoff-Chu (ZC)서렬빈편고계산법。수선통과건립신호모형,이용방진분석료재파빈솔편차대접수계통영향;기차,신표결구중적량개동보신호이반주기형식선택ZC서렬,1개도빈부호서렬유2개ZC서렬구성。인차,접수단접수적2개부호시완전상동적ZC서렬,통과대1개ZC서렬반주기진행자상관운산병계산빈편치,즉가이완성대정개주기부호적빈편고계。방진결과표명,상비우기타산법,빈편고계균방차가강저20~30%,증익제승약2dB。
The current frequency offset estimation algorithm of mobile digital TV receiver system has these disadvantag-es that the variance and bit error rate (BER) are very high. Frequency offset estimation algorithm based on Zadoff-Chu (ZC) sequence was presented to work out related issues. Firstly,the impact of the carrier frequency offset for receiving system was analyzed by simulation. Secondly,the ZC sequence in the form of a half cycle was chosen in two synchronization signals of the beacon formation and a pilot sequence was constituted by two ZC sequence. There-fore, two symbol of the reception terminal were the same ZC sequence. Then, by calculating the autocorrelation and the frequency offset value of a ZC sequence in a half cycle,the frequency offset estimation of entire cycle symbol was completed. The simulation result indicated that the frequency offset estimation variance is decreased 20~30%, BER is lower,and the gain is improved 2dB comparing with other traditional algorithms.