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The problem of prediction methods for time-domain blind identification of multichannel FIR filters

机译:多通道FIR滤波器时域盲识别预测方法的问题

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The concept of linear estimation for SIMO systems was first presented by D. Slock (see Proc. 1994 IEEE ICASSP, vol.IV, p.585-8, 1994; Proc. 1994 Asilomar Conf. on Signals, Systems and Computers, p.1154-8, 1994). Later, a linear prediction channel identification algorithm was developed by K. Abed-Meraim et al. (see Proc. 1995 IEEE ICASSP, p.1968-71, 1995). This blind channel identification algorithm uses only second order statistics, so it is a breakthrough in this field and has been cited frequently by others. But the simulation of the algorithm developed by Abed-Meraim et al. shows that the channel could not be identified because there is still needed another condition, which could not be obtained for knowing nothing about the channel in the whole blind condition.
机译:SIMO系统的线性估计的概念是由D. Slock提出的(参见Proc.1994 IEEE ICASSP,Vol.iv,P.585-8,1994; Proc。1994年asilomar conf。在信号,系统和计算机上,p。 1154-8,1994)。稍后,通过K.Beed-Meraim等人开发了线性预测信道识别算法。 (请参阅proc。1995 IEEE ICASSP,P.1968-71,1995)。这种盲声识别算法仅使用二阶统计信息,因此它在该字段中是一个突破,并被其他人频繁引用。但是借氧梅莱姆等人开发的算法的仿真。表明,由于仍然需要另一条件,因此无法识别该信道,这是无法在整个盲疾病状态下对信道知识了解的情况。

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