计算机工程 ›› 2019, Vol. 45 ›› Issue (7): 95-102.doi: 10.19678/j.issn.1000-3428.0050464

• 移动互联与通信技术 • 上一篇    下一篇

基于MCMC-UKF的直接序列扩频信号盲估计

马超, 张立民   

  1. 海军航空大学 信息融合研究所, 山东 烟台 264001
  • 收稿日期:2018-02-09 修回日期:2018-05-24 出版日期:2019-07-15 发布日期:2019-07-23
  • 作者简介:马超(1988-),男,博士研究生,主研方向为通信侦察技术;张立民,教授、博士。
  • 基金项目:
    国家自然科学基金重大研究计划(91538201);泰山学者专项(ts201511020)。

Blind Estimation of Direct Sequence Spread Spectrum Signal Based on MCMC-UKF

MA Chao, ZHANG Limin   

  1. Institute of Information Fusion, Naval Aeronautical University, Yantai, Shandong 264001, China
  • Received:2018-02-09 Revised:2018-05-24 Online:2019-07-15 Published:2019-07-23

摘要: 针对长码直接序列扩频信号的扩频码及信息序列盲估计问题,提出基于重叠分段MCMC-UKF的扩频码及信息序列联合估计算法。在贝叶斯框架模型下,结合重叠分段的思想,利用UKF算法求解非线性模型,估计各参数后验概率的均值和方差,通过MCMC方法迭代抽样得到各分段扩频序列,进行序列拼接以完成对扩频序列及信息序列的估计。仿真结果表明,该算法能适应较低的信噪比环境,且不受扩频序列类型的限制。

关键词: 直接序列扩频信号, 贝叶斯模型, 无迹卡尔曼滤波, 分段, 序列估计

Abstract: Aiming at the problem of spreading code and information sequence blind estimation for long code Direct Sequence Spread Spectrum(DSSS) signal,this paper proposes a joint estimation algorithm based on overlapping segment Markov Chain Monte Carlo-Unscented Kalman Filtering(MCMC-UKF) for spreading code and information sequence.Under the Bayesian framework model,combined with the idea of overlapping segmentation,the UKF algorithm is used to solve the nonlinear model,and the mean and variance of the posterior probabilities of each parameter are estimated.The segmentation spread spectrum is obtained by MCMC method,sequence splicing to complete the estimation of the spreading sequence and the information sequence.Simulation results show that the algorithm can adapt to lower Signal-to-Noise Ratio(SNR) and is not limited by the type of spread spectrum sequence.

Key words: Direct Sequence Spread Spectrum(DSSS) signal, Bayesian model, Unscented Kalman Filtering(UKF), segmentation, estimation of sequence

中图分类号: