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在实际的数据通信中,为改善眼图,减小误码率可用适当的均衡器。在实际均衡工作中,原始数据为测得的离散频谱值,故提出了在给定离散频谱的情况下,用横向均衡器进行时域均衡的课题。本文在已有优化设计方法的基础上提出了解决此问题的补充修正方法。此方法计算迅速,调试方便,均衡效果良好,在有线数传的固定预均衡中有实用价值。文中对最小均方畸变准则和最小峰值畸变准则下的设计效果也作了评价讨论和比较,并用近年来新出现的集成器件BBD实现了用上述方法设计的横向均衡器,对所提出的方法作了验证。实验结果良好,与理论值基本吻合。文中对用BBD作横向均衡器时会遇到的问题及其解决方法作了探讨,其结论可供这方面的工作者参考。
In the actual data communications, to improve the eye diagram, the appropriate equalizer can be used to reduce the bit error rate. In the actual equalization work, the original data is the measured discrete spectrum value, so the problem of time-domain equalization with a transverse equalizer is given under the condition of given discrete spectrum. Based on the existing optimization design methods, this paper proposes a supplementary correction method to solve this problem. The method is rapid, easy to debug and well balanced, and has practical value in the fixed pre-equalization of wired data transmission. In this paper, the design effects under the minimum mean square distortion criterion and the minimum peak distortion criterion are also evaluated and discussed. Compared with the newly emerged integrated device BBD in recent years, the transverse equalizer designed by the above method is implemented. The proposed method Verified. The experimental results are good and basically consistent with the theoretical value. In this paper, the problems encountered when using BBD as a transverse equalizer and its solution are discussed, and the conclusions are available for reference in this area.