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航空学报  2013 

基于贝叶斯模型的长码DS-CDMA信号扩频码与信息序列联合估计

DOI: 10.7527/S1000-6893.2013.0205, PP. 1191-1203

Keywords: 扩频通信,码分多址,贝叶斯模型,吉布斯采样,马尔可夫链蒙特卡罗,可逆跳跃

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Abstract:

针对长码直接序列扩频码分多址(DS-CDMA)信号的盲解扩,在信号模型分析的基础上,提出了一种基于可逆跳跃的马尔可夫链蒙特卡罗(RJ-MCMC)扩频码和信息序列联合估计算法。该算法分别对建立的联合后验分布模型进行迭代抽样,并有效地在不同维数的子空间中跳转,从而构造一条马尔可夫链,使其平稳分布为待估参数的后验分布,最终拼接得到每个用户的完整扩频序列和信息序列估计。仿真结果表明该方法在迭代二十几步时达到收敛;并且在功率相同和不同条件下,当信噪比(SNR)大于-9dB时,估计序列与真实序列的相似度均超过0.95,信息序列的误码率低于0.01;同时算法对不同用户个数和不同调制样式具有较强的适应性,与Fast-ICA算法相比,估计性能平均提高了约3dB。

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