电子学报 ›› 2016, Vol. 44 ›› Issue (5): 1025-1031.DOI: 10.3969/j.issn.0372-2112.2016.05.003

• 学术论文 • 上一篇    下一篇

基于SMC的STBC-MC-CDMA信号扩频码及信息序列盲估计

钟兆根, 张立民, 林洪文   

  1. 海军航空工程学院电子信息工程系, 山东烟台 264001
  • 收稿日期:2014-09-22 修回日期:2015-05-15 出版日期:2016-05-25 发布日期:2016-05-25
  • 通讯作者: 张立民
  • 作者简介:钟兆根 男,1984年出生,江西南昌人,博士,讲师,主要研究领域为通信侦察和空间信息对抗.E-mail:zhongzhaogen@163.com
  • 基金资助:

    国家自然科学基金(No.91538201);泰山学者工程专项经费资助(No.ts201511020)

Blind Estimation of Spreading Codes and Information Sequences for STBC-MC-CDMA Signals Based on SMC

ZHONG Zhao-gen, ZHANG Li-min, LIN Hong-wen   

  1. Department of Electronics and Information Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China
  • Received:2014-09-22 Revised:2015-05-15 Online:2016-05-25 Published:2016-05-25

摘要:

针对具有空时分组码的多载波CDMA(Space Time Block Coding Multi Carrier Code Division Multiple Access,STBC-MC-CDMA)信号扩频码及信息序列的联合估计问题,结合序贯蒙特卡罗(Sequential Monte Carlo,SMC)算法和卡尔曼滤波技术,充分利用STBC和OFDM(Orthogonal Frequency Division Multiplexing)调制的正交属性,提出了一种快速的盲解扩算法.该算法通过将信号模型按不同符号路数和天线数目进行分段处理,采用卡尔曼滤波方法对均值和协方差进行迭代更新,并用一组带有权值的抽样粒子来近似建立的联合后验概率分布,根据抽样值和重要性权值大小进行参量状态估计,大大提高了算法的计算效率.理论分析和仿真结果验证了本文算法的有效性.

关键词: 扩频通信, 码分多址, 空时分组码, 序贯蒙特卡罗, 扩频码, 信息序列

Abstract:

To deal with the problem of blind estimation of spreading codes and information sequences for space-time block coded multi-carrier CDMA signals, combined with SMC (Sequential Monte Carlo) and Kalman filtering techniques, this paper introduces a fast blind despreading algorithm by making full use of the orthogonality property of the STBC and the OFDM multi-carrier modulation.Firstly, the proposed algorithm segments the signal model through different symbols and antennas.Secondly, use Kalman filtering method to update the mean and covariance iteratively.Then, use a set of properly weighted samples to approximate the joint posterior distribution, Finally, exploit these samples to estimate the quantity of interest, which improve the computational efficiency greatly.The theoretical analysis and simulation results verify the effectiveness of the proposed algorithm.

Key words: spread spectrum communication, code division multiple access, space-time block coding, sequential monte carlo, spreading code, information sequence

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