无迹卡尔曼滤波的长码直扩信号载波频偏盲估计  

Estimation of Carrier Frequency Offset for Long Code DSSS Signals Based on Unscented Kalman Filter

作　　者：马超 张立民 MA Chao;ZHANG Li-min(Institute of Information Fusion,Naval Aviation University,Yantai 264001,China)

机构地区：[1]海军航空大学信息融合研究所,山东烟台264001

出　　处：《火力与指挥控制》2019年第4期44-47,52,共5页Fire Control & Command Control

基　　金：国家自然科学重大研究计划基金(91538201);泰山学者专项经费基金资助项目(ts201511020)

摘　　要：针对长码直接序列扩频(Direct Sequence Spread Spectrum,DSSS)通信中的载波同步问题,提出了一种新的载波频偏估计算法。该方法结合分段和无迹卡尔曼滤波(Unscented Kalman Filter,UKF)算法的思想,利用UKF算法对非线性模型的求解能力,估计载波频偏的后验概率的均值和方差。Monte Carlo仿真实验的结果表明新算法不仅具有较高的估计精度,还能实现较低信噪比下的估计。A new carrier frequency offset estimation algorithm is proposed for carrier frequency synchronization in long sequence Direct Sequence Spread Spectrum(DSSS) communication. Based on the idea of segmentation and UKF algorithm,this paper uses the UKF algorithm to solve the nonlinear model and estimates the mean and variance of the posterior probability of each parameter. Monte Carlo simulation results show that the new algorithm not only has high estimation accuracy,but also achieves lower SNR estimation.

关 键 词：长码 直接序列扩频 分段 无迹卡尔曼滤波 载波频偏盲估计 

分 类 号：TN911[电子电信—通信与信息系统]