In order to track the changing channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, it is prior to estimate channel impulse response adaptively. In this paper, we proposed an adaptive blind channel estimation method based on parallel factor analysis (PARAFAC). We used an exponential window to weight the past observations; thus, the cost function can be constructed via a weighted least squares criterion. The minimization of the cost function is equivalent to the decomposition of third-order tensor which consists of the weighted OFDM data symbols. To reduce the computational load, we adopt a recursive singular value decomposition method for tensor decomposition; then, the channel parameters can be estimated adaptively. Simulation results validate the effectiveness of the proposed algorithm under diverse signalling conditions.

中文翻译：

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基于PARAFAC的MIMO-OFDM系统的自适应盲信道估计。

为了在多输入多输出正交频分复用（MIMO-OFDM）系统中跟踪变化的信道，先自适应地估计信道冲激响应。本文提出了一种基于并行因子分析的自适应盲信道估计方法。我们使用指数窗口加权过去的观察结果；因此，可以通过加权最小二乘准则构造成本函数。代价函数的最小化等效于由加权OFDM数据符号组成的三阶张量的分解。为了减少计算量，我们采用递归奇异值分解方法进行张量分解。然后，可以自适应地估计信道参数。