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Fuzzy stochastic gradient decision feedback equalizer for VSBterrestrial HDTV broadcasting

机译:VSB地面高清电视广播的模糊随机梯度决策反馈均衡器

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We present a fuzzy stochastic gradient (FSG) decision feedback equalizer (DFE) for VSB terrestrial HDTV broadcasting. This equalizer employs a well-designed fuzzy Takagi-Sugeno (1985) model to automatically regulate the step size of the descent gradient vector, combining a fast convergence rate and a low excess mean square error (MSE). The only penalty paid is a slight increase in the computational complexity compared with the LMS algorithm. Simulation results show that this equalizer provides 3.5 dB signal-to-noise ratio (SNR) improvement at a BER of 3.0×10-6 with respect to the conventional LMS DFE recommended by the Grand Alliance
机译:我们提出了VSB地面高清电视广播的模糊随机梯度(FSG)决策反馈均衡器(DFE)。该均衡器采用精心设计的模糊Takagi-Sugeno(1985)模型来自动调节下降梯度矢量的步长,并结合了快速收敛速度和低均方误差(MSE)。与LMS算法相比,唯一要付出的代价就是计算复杂度的轻微增加。仿真结果表明,与大联盟推荐的传统LMS DFE相比,该均衡器在BER为3.0×10-6时提供3.5 dB的信噪比(SNR)改善。

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