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A Predictive Blind Equalizer based in Godard's Criterion for 256-QAM Digital Radio Systems

机译:基于Godard准则的256-QAM数字无线电系统的预测盲均衡器

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This paper develops the theory of complex finite-length linear equalization based in preaictive filter structures and Godard's criterion.The complex equalizer is composed by a cascade of a forward and backward prediction-error filters plus a complex gain responsible for both power and carrier phase recovery.It can be updated adaptively at the same low computational cost as any other classical blind technique.Simulation results for digital radio links show that this technique performs very well with severe channel fadings in high-order QAM systems.In this case,some classical blind equalizers such [1] and [2] do not perform as well.
机译:本文基于前馈滤波器结构和Godard准则,发展了复数有限长度线性均衡的理论。复数均衡器由前向和后向预测误差滤波器级联以及负责功率和载波相位恢复的复数增益组成可以以与任何其他经典盲技术相同的低计算量进行自适应更新。数字无线电链路的仿真结果表明,该技术在高阶QAM系统中在严重的信道衰落下表现良好。均衡器[1]和[2]的效果不佳。

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