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首页> 外文期刊>EURASIP journal on advances in signal processing >Semiblind Channel Estimation for IFDMA in Case of Channels with Large Delay Spreads
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Semiblind Channel Estimation for IFDMA in Case of Channels with Large Delay Spreads

机译:信道具有较大时延扩展的情况下,IFDMA的半盲信道估计

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Discrete Fourier Transform- (DFT-) precoded Orthogonal Frequency Division Multiple Access (OFDMA) with interleaved subcarrier allocation per user is considered which is denoted as Interleaved Frequency Division Multiple Access (IFDMA). For IFDMA, the received signal exhibits a cyclostationarity with the parameter which defines the number of allocated subcarriers per user. In previous works, we have shown that this cyclostationarity can be exploited for the application of subspace-based semiblind channel estimation to IFDMA. Nevertheless, the formerly proposed algorithm is restricted to channels with small delay spreads, meaning that the number of channel delay taps needs to be smaller than . In this paper, we introduce a new semiblind subspace-based channel estimation algorithm which identifies a subspace of the received signal that is spanned by the elements of the so-called cyclic channel impulse response. By doing so, the number of elements to be estimated is reduced and the proposed algorithm is able to cope with channels with large delay spreads.
机译:考虑了每个用户具有交错子载波分配的离散傅立叶变换(DFT-)预编码正交频分多址(OFDMA),它被表示为交错频分多址(IFDMA)。对于IFDMA,接收到的信号具有循环平稳性,该参数定义了每个用户分配的子载波数量。在以前的工作中,我们已经表明,可以将这种循环平稳性用于将基于子空间的半盲信道估计应用于IFDMA。尽管如此,以前提出的算法仅限于延迟扩展较小的信道,这意味着信道延迟抽头的数量需要小于。在本文中,我们引入了一种新的基于半盲子空间的信道估计算法,该算法可识别接收信号的子空间,该子空间被所谓的循环信道脉冲响应的元素所跨越。通过这样做,减少了要估计的元素的数量,并且所提出的算法能够应对具有大延迟扩展的信道。

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