电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2015年
2期
405-410
,共6页
无线通信%大规模MIMO%信道互易误差%互易校准
無線通信%大規模MIMO%信道互易誤差%互易校準
무선통신%대규모MIMO%신도호역오차%호역교준
Wireless communication%Massive MIMO%Channel reciprocity errors%Reciprocity calibration
对于采用大规模MIMO技术的时分双工系统,基站天线的互易误差会破坏上下行基带信道互易特性,大幅降低系统下行传输性能。考虑到大规模MIMO技术所带来的基站天线间的耦合效应,该文设计了基于总体最小二乘估计的基站天线互易校准算法,以实现对基站的天线互易误差的补偿。该算法以增加计算复杂度为代价,以及通过增加信道测量样本,克服了上下行信道估计误差对现有天线互易误差校准算法的影响。同时,该文通过瑞利商迭代求解降低了该算法的复杂度。若忽略用户天线互易误差,计算机仿真结果表明,该算法相对于现有的基站天线互易误差校正算法,具有1.8 dB左右的性能增益。若考虑用户天线互易误差,该算法相对于已有的算法,具有随信道估计误差方差减小而增大的增益。
對于採用大規模MIMO技術的時分雙工繫統,基站天線的互易誤差會破壞上下行基帶信道互易特性,大幅降低繫統下行傳輸性能。攷慮到大規模MIMO技術所帶來的基站天線間的耦閤效應,該文設計瞭基于總體最小二乘估計的基站天線互易校準算法,以實現對基站的天線互易誤差的補償。該算法以增加計算複雜度為代價,以及通過增加信道測量樣本,剋服瞭上下行信道估計誤差對現有天線互易誤差校準算法的影響。同時,該文通過瑞利商迭代求解降低瞭該算法的複雜度。若忽略用戶天線互易誤差,計算機倣真結果錶明,該算法相對于現有的基站天線互易誤差校正算法,具有1.8 dB左右的性能增益。若攷慮用戶天線互易誤差,該算法相對于已有的算法,具有隨信道估計誤差方差減小而增大的增益。
대우채용대규모MIMO기술적시분쌍공계통,기참천선적호역오차회파배상하행기대신도호역특성,대폭강저계통하행전수성능。고필도대규모MIMO기술소대래적기참천선간적우합효응,해문설계료기우총체최소이승고계적기참천선호역교준산법,이실현대기참적천선호역오차적보상。해산법이증가계산복잡도위대개,이급통과증가신도측량양본,극복료상하행신도고계오차대현유천선호역오차교준산법적영향。동시,해문통과서리상질대구해강저료해산법적복잡도。약홀략용호천선호역오차,계산궤방진결과표명,해산법상대우현유적기참천선호역오차교정산법,구유1.8 dB좌우적성능증익。약고필용호천선호역오차,해산법상대우이유적산법,구유수신도고계오차방차감소이증대적증익。
The downlink transmission performance of the massive MIMO Time Division Duplex (TDD) system is bottlenecked by the channel reciprocity errors called antenna reciprocity errors. Antenna reciprocity errors are caused by the mismatch and mutual coupling between antennas. In order to compensate antenna reciprocity errors of the base station, a reciprocity calibration algorithm is proposed in this paper, which can reduce the impact of channel estimate errors by using total least square estimation and increasing channel measurement samples. Rayleigh quotient iteration is also used to reduce the complexity of the reciprocity calibration algorithm in this paper. Simulation results reveal that the algorithm proposed in this paper can achieve 1.8 dB performance gain with respect to the traditional one proposed in references when the antenna reciprocity errors of user equipments are ignored. When the antenna reciprocity errors of user equipments are considered, the performance of the proposed algorithm increases with the decreasing variance of the channel estimation errors.