一种应用于射频系统群时延测量的相关峰精化算法

A Correlation-peak Fining Algorithm for Group Delay Measurement of Radio Frequency System

该文提出一种应用于射频系统群时延测量的相关峰精化算法,用于提高调制法测量群时延的测量精度。该算法通过对信号进行预先插值而后相关的方式,降低了对采样率的要求;获得比传统算法更高的精度,并利用小波去噪增强了低信噪比条件下的鲁棒性。基于matlab的仿真表明,该算法能够更精确地获得一个采样间隔以内的时延部分,验证了其有效性及优势。

A fining algorithm of correlation peak is proposed for measuring group delay of Radio Frequency （RF） systems to improve the measurement precision. This algorithm requires lower sampling rate by interpolating the signals before correlation operations, and obtains higher measurement precision than classic methods. Wavelet de-noising is also introduced to enhance the robustness under low Signal-to-Noise Ratio （SNR）. Simulations based on matlab show that the proposed method can obtain the delay part less than the sampling interval more precisely, and prove its effectiveness and advantages.