计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
20期
223-228,248
,共7页
长期演进(LTE)%频偏估计%减小多径影响%抗极性反转%扩大频偏估计范围
長期縯進(LTE)%頻偏估計%減小多徑影響%抗極性反轉%擴大頻偏估計範圍
장기연진(LTE)%빈편고계%감소다경영향%항겁성반전%확대빈편고계범위
Long Term Evolution(LTE)%Carrier Frequency Offset(CFO)estimation%reducing influence of multi-path%resisting polarity reversion%expanding estimation scale
主要研究了LTE系统下行链路中的载波同步,分析了基于PSS相关估计和基于CP的ML估计两类传统频偏估计算法。针对后者抗多径能力不足、抗极性反转能力差和估计范围较小的缺陷,提出了一种改进频偏估计算法。该算法在利用CP数据进行ML频偏估计时去掉一部分受符号干扰的数据,以减少多径影响;利用PSS相关估计结果的极性信息,对算法估计结果进行修正,扩大频偏估计范围和提高抗极性反转能力。仿真结果表明:改进算法相对于原算法在多径环境下具有更好的估计性能;当频偏|εF|接近0.5时能够抵抗极性反转具有较高的鲁棒性,当|εF|>0.5时原算法失效而改进算法仍能够保持较高的估计性能。
主要研究瞭LTE繫統下行鏈路中的載波同步,分析瞭基于PSS相關估計和基于CP的ML估計兩類傳統頻偏估計算法。針對後者抗多徑能力不足、抗極性反轉能力差和估計範圍較小的缺陷,提齣瞭一種改進頻偏估計算法。該算法在利用CP數據進行ML頻偏估計時去掉一部分受符號榦擾的數據,以減少多徑影響;利用PSS相關估計結果的極性信息,對算法估計結果進行脩正,擴大頻偏估計範圍和提高抗極性反轉能力。倣真結果錶明:改進算法相對于原算法在多徑環境下具有更好的估計性能;噹頻偏|εF|接近0.5時能夠牴抗極性反轉具有較高的魯棒性,噹|εF|>0.5時原算法失效而改進算法仍能夠保持較高的估計性能。
주요연구료LTE계통하행련로중적재파동보,분석료기우PSS상관고계화기우CP적ML고계량류전통빈편고계산법。침대후자항다경능력불족、항겁성반전능력차화고계범위교소적결함,제출료일충개진빈편고계산법。해산법재이용CP수거진행ML빈편고계시거도일부분수부호간우적수거,이감소다경영향;이용PSS상관고계결과적겁성신식,대산법고계결과진행수정,확대빈편고계범위화제고항겁성반전능력。방진결과표명:개진산법상대우원산법재다경배경하구유경호적고계성능;당빈편|εF|접근0.5시능구저항겁성반전구유교고적로봉성,당|εF|>0.5시원산법실효이개진산법잉능구보지교고적고계성능。
This paper researches the carrier frequency sychronization for downlink of LTE system and analyzes two tradi-tional Carrier Frequency Offset(CFO) estimation algorithms which are the estimation based PSS correlation and the Max-Likelihood(ML)estimation based on Cycle Prefix(CP). Aiming at the latter algorithm has the shortcomings that are a poor ability to resist multipath and polarity reversion and a smaller estimation scale, this paper proposes an improved algo-rithm. This improved algorithm reduces the influence of multi-path through substracting a part of interferenced data from the CP when using the CP to estimate the CFO. To expand the estimation scale and enhance the ability of resisting the polarity reversion, this improved algorithm uses the polarity information of the estimated result of algorithm based on PSS correla-tion. The simulations show that, the improved algorithm has a better performance in the multi-path condition compared to the original algorithm, when |εF| approach to 0.5, the original algorithm can resit the polarity information effectively and has good robust ability to the changement of |εF| nearby 0.5, when |εF|>0.5 , the original algorithm is invalid but the improved algorithm still can estimate the εF and keep a higher estimation performance.