TD-LTE上行PUSCH信道EVM测量算法研究

发布时间：2018-05-01 23:51

本文选题：TD-LTE + PUSCH　；参考：《厦门大学》2014年硕士论文

【摘要】：LTE自2009年商用以来,发展极为迅速,具有我国自主知识产权的TD-LTE技术,由于其灵活的频谱配置,也得到了迅速的发展和广泛的传播,2013年底中国已经正式发放TD-LTE牌照。然而TD-LTE的终端研制还不是很成熟,终端产品的性能需要特定的仪表对其进行测试,因此TD-LTE测试仪表的研制及其关键技术的研究,有助于推动整个行业的发展,具有重要意义。本文首先针对TD-LTE的PUSCH(Physical Uplink Shared Channel,物理上行共享信道)及其EVM(Error Vector Magnitude,误差矢量幅度)测量方法进行了研究,EVM属于无线指标测试中的调制质量测试,然后设计了PUSCH的EVM的测量步骤。为了使得测量结果达到预期目标,本文对影响EVM测量结果的关键因素进行研究与分析,针对频率偏移估计算法、IQ不平衡估计和补偿算法以及信道估计算法,分别进行了算法的性能对比和分析,并对相关的关键算法进行研究和优化,在频偏估计算法中,提出了一种利用对数平均计算频谱重心的盲估计算法,该算法性能良好,复杂度低。在信道估计算法中,根据PUSCH中参考信号幅值恒定的情况,对MMSE算法进行优化,降低了算法复杂度。最后在整体仿真中使用了基于对数平均计算频谱重心的盲估计算法和基于PUSCH的MMSE优化算法,并求出EVM的测量值,仿真结果表明达到了预期的目标。未来本文的进一步研究工作是对影响EVM测量结果的其他关键算法如定时偏移算法、直流估计算法等进行研究,并继续优化算法的性能,使得EVM的测量误差最小化。
[Abstract]:LTE has developed very rapidly since 2009, and the TD-LTE technology with our own intellectual property rights has been developed rapidly and widely spread because of its flexible spectrum configuration. China has officially issued the TD-LTE license at the end of 2013. However, the terminal development of TD-LTE is not very mature, and the performance of the end product needs special instruments to test it. Therefore, the development of TD-LTE test instrument and the research of key technology are helpful to promote the development of the whole industry and have important significance. In this paper, we first study the modulation quality test of TD-LTE (PUSCH(Physical Uplink Shared Channel, physical uplink shared channel) and its EVM(Error Vector magnitude (error vector amplitude) measurement method, and then design the measurement steps of PUSCH EVM. In order to achieve the desired results, this paper studies and analyzes the key factors that affect the EVM measurement results, aiming at the frequency offset estimation algorithm, I. e., the unbalanced IQ estimation and compensation algorithm and the channel estimation algorithm. The performance of the algorithm is compared and analyzed, and the related key algorithms are studied and optimized. In the frequency offset estimation algorithm, a blind estimation algorithm using logarithmic average to calculate the center of spectrum gravity is proposed, which has good performance. Low complexity. In the channel estimation algorithm, the MMSE algorithm is optimized according to the constant amplitude of the reference signal in PUSCH, and the complexity of the algorithm is reduced. Finally, the blind estimation algorithm based on logarithmic average calculation of spectral center of gravity and the MMSE optimization algorithm based on PUSCH are used in the whole simulation, and the measurement value of EVM is obtained. The simulation results show that the desired target is achieved. In the future, the further work of this paper is to study other key algorithms such as timing offset algorithm, DC estimation algorithm and so on, which affect the EVM measurement results, and continue to optimize the performance of the algorithm, so as to minimize the measurement error of EVM.
【学位授予单位】：厦门大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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