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为分析级联信道编码Golden码系统的迭代检测性能并降低迭代检测算法的复杂度,利用软符号干扰消除的思想,提出采用高斯近似和最小均方误差(MMSE)算法来计算迭代检测过程中所需的比特软信息.根据Golden码的传输特性,推导出适合该系统的软比特信息计算方法.理论分析证明,与传统的list sphere decode-maximum a pos-teriori(LSD-MAP)算法相比,高斯近似和MMSE算法具有复杂度低的优点.仿真结果表明,新算法的迭代检测性能接近于LSD-MAP算法,可以实现Golden码的快速迭代检测.
In order to analyze the iterative detection performance of cascaded channel coding Golden code system and reduce the complexity of iterative detection algorithm, the idea of soft symbol interference cancellation is proposed. The Gaussian approximation and the least mean square error (MMSE) algorithm are proposed to calculate the iterative detection process Bit soft information is needed.According to the transmission characteristics of Golden code, a soft-bit information calculation method suitable for the system is derived.The theoretical analysis proves that compared with the traditional list sphere decode-maximum a pos-teriori (LSD-MAP) algorithm, Gaussian approximation and MMSE algorithm have the advantages of low complexity.The simulation results show that the iterative detection performance of the new algorithm is close to the LSD-MAP algorithm, which can achieve fast iterative detection of Golden code.