针对具有空时分组码的多载波CDMA（Space Time Block Coding Multi Carrier Code Division Multiple Ac-cess，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。%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 an-tennas.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 in-terest,which improve the computational efficiency greatly.The theoretical analysis and simulation results verify the effective-ness of the proposed algorithm.
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