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Blind equalization in the presence of bounded errors with unknown bound

机译:存在未知边界的有界误差时的盲均衡

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We consider the blind identification of a FIR channel when the errors on the observations (received signal) are bounded. We show that, using the fact that the input signal is in a finite alphabet, the channel parameters and the bound can be estimated on-line. However, since the input sequence is unknown, the number of estimators to be run in parallel grows exponentially fast. A sub-optimal approach is thus considered, which consists in retaining only the K best candidate sequences for the L/sub /spl infin//-norm.
机译:当观测值(接收信号)的误差有界时,我们考虑对FIR通道进行盲目识别。我们表明,利用输入信号为有限字母这一事实,可以在线估算通道参数和边界。但是,由于输入序列未知,因此要并行运行的估算器的数量呈指数增长。因此,考虑了次优方法,该方法包括仅保留L / sub / spl infin //-范数的K个最佳候选序列。

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