ZHONG Zhao-gen, ZHANG Li-min, LIN Hong-wen. Blind Estimation of Spreading Codes and Information Sequences for STBC-MC-CDMA Signals Based on SMC[J]. Acta Electronica Sinica, 2016, 44(5): 1025-1031.
DOI:
ZHONG Zhao-gen, ZHANG Li-min, LIN Hong-wen. Blind Estimation of Spreading Codes and Information Sequences for STBC-MC-CDMA Signals Based on SMC[J]. Acta Electronica Sinica, 2016, 44(5): 1025-1031. DOI: 10.3969/j.issn.0372-2112.2016.05.003.
Blind Estimation of Spreading Codes and Information Sequences for STBC-MC-CDMA Signals Based on SMC
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.
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.