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对于一个异步高斯直接序列码分多址系统的多用户检测问题，现有的解相关线性检测方法存在对高维矩阵求逆，计算量大的问题。该文根据系统基带模型的等价多入多出（ Ｍ Ｉ Ｍ Ｏ）结构，基于 Ｍ Ｉ Ｍ Ｏ 和周期时变滤波器的等价性，设计了周期时变的最小均方误差均衡器，并在此基础上设计了用户增益估计的批处理和自适应方法，克服了常规多用户检测方法对用户增益敏感的缺点。仿真结果表明，该文方法的误码率性能与解相关检测方法的基本相同，而计算量减少了，并且减少了解码延迟。
For a multi-user detection problem of an asynchronous Gaussian direct sequence CDMA system, the existing solution-dependent linear detection method has the problem of inversing a high-dimensional matrix and a large amount of computation. According to the equivalent MMI of the system baseband model, this paper designs the minimum mean square error equalizer with periodic time-varying based on the equivalence of M I M O and periodic time-varying filter. On the basis of this, a batch processing and adaptive method of user gain estimation is designed, which overcomes the shortcoming that the conventional multiuser detection method is sensitive to user gain. The simulation results show that the BER performance of the proposed method is basically the same as the decorrelation detection method, and the computational complexity is reduced and the decoding delay is reduced.