基于频域窗的奈奎斯特滤波器设计实例

Q. Chaudhari
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引用次数: 0

摘要

在数字领域,平方根上升余弦滤波器(SRRC)历来用于大多数无线标准中,用于在Tx处塑造频谱并在Rx处匹配滤波信号(组合形成上升余弦滤波器(RC))。然而,在峰值ISI和峰值旁瓣衰减方面,SRRC滤波器的性能至少可以说是相当平均的。根据Parks-McClellan算法设计的变换低通滤波器是一种替代脉冲整形技术,由于低通滤波器系数是基于Remez交换算法和Chebyshev近似理论的最优解,使得期望频率响应与实际频率响应之间的最大误差最小,因此通常被认为是最优的。在本文中,我们证明了[3]中提出的另一种基于优化的频域窗口与矩形频谱卷积的技术在峰值ISI和旁瓣衰减方面与基于低通滤波器的方法在所有实例中都相当匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Case for Frequency Domain Window Based Nyquist Filter Design
In the digital domain, a Square-Root Raised Cosine Filter (SRRC) has historically been used in most of the wireless standards for shaping the spectrum at the Tx and matched filtering the signal at the Rx (the combination forms a Raised Cosine (RC) filter). However, the performance of an SRRC filter in terms of peak ISI and peak sidelobe attenuation is fairly average, to say the least. A transformed lowpass filter designed according to Parks-McClellan algorithm is an alternative pulse shaping technique which is generally believed to be optimal due to the lowpass filter coefficients being the optimal solution based on Remez exchange algorithm and Chebyshev approximation theory such that the maximum error between the desired and the actual frequency response is minimized. In this paper, we show that another technique proposed in [3] based on an optimized frequency domain window convolved with a rectangular spectrum matches fairly well against the lowpass filter based method at all instances in terms of peak ISI and sidelobe attenuation.
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