On fractionally-spaced equalizer design for digital microwave radio channels

C. R. Johnson, H. Lee, J. LeBlanc, T. Endres, R. Casas, E. Tai, Z. Reznic, W. Meyer
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引用次数: 22

Abstract

Advances in blind identification of fractionally-spaced models for digital communication channels and blind fractionally-spaced equalizer adaptation rely on the assumption that the time span chosen for the fractionally-spaced equalizer exceeds that of the channel. This paper considers time-domain design formulas minimizing the mean-squared symbol recovery error achieved by a finite-length FIR fractionally-spaced equalizer with a time span shorter than the channel impulse response time span for white zero-mean QAM sources in the presence of white zero-mean channel noise. For minimum mean-squared error designs the symbol error rates achievable are plotted versus the ratio of the source variance to the channel noise variance (with the channel model power normalized to achieve a received signal of unit variance) for different fractionally-spaced equalizer lengths on 64-QAM for several T/2-spaced channel models derived from experimental data. Our intent is to fuel the ongoing debate about fractionally-spaced equalizer length selection.
数字微波无线电信道分数间隔均衡器设计
数字通信信道分数间隔模型的盲识别和分数间隔均衡器盲自适应的进展依赖于分数间隔均衡器选择的时间跨度超过信道的时间跨度的假设。本文考虑了在存在白色零均值信道噪声的情况下,利用时间间隔小于信道脉冲响应时间间隔的有限长FIR分数间隔均衡器实现的均方符号恢复误差最小化的时域设计公式。对于最小均方误差设计,可实现的符号错误率与64-QAM上不同分数间隔均衡器长度的源方差与信道噪声方差之比(信道模型功率归一化以获得单位方差的接收信号)进行了绘制,用于从实验数据中导出的几个T/2间隔信道模型。我们的目的是推动正在进行的关于分数间隔均衡器长度选择的辩论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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