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本文通过将扩展函数在时延扩展域和Ｄｏｐｐｌｅｒ扩展域进行采样，得到了ＣＤＭＡ时变色散信迢的离散正则模型，此模型适宜于采用二阶统计量方法对ＣＤＭＡ时变色散系统进行盲信号处理。文章同时给出了一种对正则采样值的子空间盲辨识算法。与基于基展开模型处理时变信道的方法不同的是，这种基于离散正则模型的盲辨识方法不需借助高阶统计量估计信道的指数基频率，也不必假设相邻符号间的时延变化呈线性关系，而且赋予了基展开坐标明确的物理意义。文章通过仿真验证了算法的有效性。
In this paper, the discrete-time regular model of CDMA time-varying chromatic dispersion signal is obtained by sampling the extended function in the extended delay domain and the Doppler extended domain. This model is suitable for blind signal processing of CDMA time-varying chromatic dispersion system . At the same time, a subspace blind identification algorithm for regular sampling values is given. Different from the method based on the base explosion model to deal with the time-varying channel, the blind identification method based on the discrete regular model does not need to estimate the exponential base frequency of the channel by means of higher-order statistics and does not need to assume the delay variation between adjacent symbols A linear relationship, but also gives the base to start a clear physical meaning of coordinates. The article verifies the effectiveness of the algorithm through simulation.