一种基于机器学习的信号精准测量方法

Method for accurate signal measurement based on machine learning

摘要:

随着通信时代的飞速发展，通信信号的质量和稳定性已经成为未来科技竞争的关键因素。深入研究了零中频架构I/Q信号的关键频率测量问题，提出了一种基于机器学习以提升信号测量精度的测量方法，并扩展了测量范围。该方法充分利用了机器学习在信号处理方面的优势，通过对大量数据的学习和训练，能够实现对I/Q信号的高精度测量。通过实验和数据分析，验证了该方法在信号测量精度和稳定性方面的优越性。

Abstract:

With the rapid development of the communication era，the quality and stability of communication signals have become key factors in future technological competition.An In-depth research on the measurement of key parameters of I/Q signals in zero intermediate frequency architecture was conducted，and a precision measurement method was proposed,based on machine learning that extends the measurement range.The method fully utilizes the advantages of machine learning in signal processing，and can achieve high-precision measurement of I/Q signals through learning and training of a large amount of data.The measurement results of simulation data and actual measurement data were prosented.Through experiments and data analysis,it is found that the superiority of this method in signal measurement accuracy and stability is verified.