基于线性回归的UWB系统频偏估计算法

Novel Frequency Offset Estimation Algorithm Based on Linear Regression in UWB System

提出了一种利用接收序列与本地PN序列的相关值辐角的线性回归来估计UWB系统载波频偏的方法,该算法将接收序列与本地PN作相关,利用辐角随时间的线性变化特性,将相关值辐角作线性回归估计频偏。仿真结果表明,与传统PN相关频偏估计算法相比,该算法性能稳定,在有效估计区间内估计精度不受频偏大小影响,抗多径能力强,在低信噪比仍有较高的估计精度。此外,此算法与系统同步使用相同的PN序列与相关计算结果,节约了系统资源,易于实现。

A novel frequency offset estimation algorithm based on the linear regression is pre- sented. The frequency offset estimation is converted to the estimation of argument increment which satisfys the linear relationship. The algorithm correlates the signal received with local pseudo noise （PN） sequences, and then calculates the frequency offset based on the linear re- gression of arguments of correlation results. Simulation results indicate that the algorithm has an advantage of accurate estimation over multi-path channels and excellent performance of channel noise suppression. The accuracy of the algorithm is not sensitive to the frequency off- set in the effective range. Moreover, the algorithm reduces system resources by sharing the same PN sequence and correlation results with PN implemented. synchronization. Besides, it can be easily implemented.