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误差矢量幅度(EVM,Error Vector Magnitude)是用于衡量调制器性能好坏的一个关键参数。在传输过程中,由于信号受到噪声等因素的影响,会造成EVM测量值不准的问题。分析EVM的测量结果在调制器性能的测试和优化过程中起到十分关键的作用,于是准确的补偿信号从而得到有效地EVM测量结果尤为重要。本文通过分析通信系统的信号模型,结合最大似然算法以及基于传输函数特性的频偏估计算法提出一种效率更高、更准确,并能很好地适用于TDD和FDD两种帧结构的频偏估计改进算法。仿真结果表明,本算法的测量结果较为准确,具有实际应用意义。
The Error Vector Magnitude (EVM) is a key parameter used to measure the performance of a modulator. In the transmission process, the signal is affected by noise and other factors, will cause the EVM measurement value is not allowed. Analyzing EVM measurements plays a crucial role in the testing and optimization of modulator performance, so it is especially important to accurately compensate the signal for effective EVM measurements. In this paper, by analyzing the signal model of the communication system, combined with the maximum likelihood algorithm and the frequency offset estimation algorithm based on the transfer function, an efficient, accurate and suitable frequency band for TDD and FDD Partial Estimation Improvement Algorithm. Simulation results show that the measurement results of this algorithm are more accurate and have practical significance.