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在数字通信系统中,其离散信源一般说来可看成一个循环平稳随机过程。本文首先在循环平稳随机过程的统计模型中引入了后向转移概率的概念,讨论了它的性质及计算方法,然后推导了一种适合于任意状态波形宽度的循环平稳随机过程的功率谱密度的计算方法,该方法的特点是推导简捷、通用性强,可以作为循环平稳随机过程的功率谱密度计算的一般方法,最后本文举例说明了通过恰当地选取状态波形,可以使循环平稳随机过程的功率谱密度计算大大简化。
In digital communication systems, its discrete sources can generally be viewed as a cyclostationary stochastic process. In this paper, the concept of backward transition probability is introduced in the statistical model of cyclostationary stochastic process. Its properties and calculation methods are discussed. Then a power spectral density suitable for a cyclostationary stochastic process with arbitrary waveform width The method is characterized by simple derivation and strong generality. It can be used as a general method for calculating the power spectral density of a cyclostationary stochastic process. Finally, this paper illustrates an example that by properly choosing the state waveform, the power of the cyclostationary stochastic process Spectral density calculation greatly simplified.