一种用于生成具有所需谱的长复高斯序列的频域滤波方法

Weimin Zhang
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引用次数: 4

摘要

频域滤波方法将i.i.d高斯样本视为频域样本,因此不需要产生带外样本。当多普勒带宽相对于采样率较低时,如多径衰落信道的仿真,该方法是有效的。提出了一种时域平滑连接方法,该方法保持了均值和方差不变,并控制了功率谱密度失真。在连接会话中使用的数据窗口是余弦,由此产生的自相关窗口范围从三角形到Papoulis,取决于重叠的程度。频谱畸变是与计算效率相权衡的结果。它可以看作是功率谱估计的倒数工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A frequency domain filtering method for generation of long complex Gaussian sequences with required spectra
The frequency domain filtering method treats the i.i.d. Gaussian samples as in the frequency domain and thus the generation of out-band samples is not necessary. It is efficient when the Doppler bandwidth is low in comparison with the sampling rate, such as in simulations of multipath fading channels. A proposed time domain smooth joining scheme maintains the mean and variance unchanged and controls the power spectral density distortion. The data window used in the joining sessions is cosine and the resultant autocorrelation window ranges from triangle to Papoulis, depending on the degree of overlapping. The spectrum distortions are observed as a trade-off with computational efficiency. It can be seen as a reciprocal work of power spectrum estimation.<>
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