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Blind estimation of MIMO channels with an upper bound for channel orders

机译:具有信道阶数上限的MIMO信道盲估计

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Many known second-order statistics (SOS)-based blind algorithms for MIMO channel estimation, including the subspace (SS) and linear prediction (LP) method, are sensitive to channel-order overestimations. To overcome this problem, an algorithm is proposed in [IEEE Trans. Signal processing 50(6) (2002) 1449-1458] for the SIMO system only, and then its simple generalization to the MIMO system is presented in [Signal Processing 84(2) (2004) 435-439]. In this paper, improvements and refinements on the algorithm in [Signal Processing 84(2) (2004) 435-439] are given, which makes the method robust to noise and round-off error. The method can give estimations of all channel impulse responses subject to a matrix ambiguity when only an upper bound for all M I MO channel orders is known. Simulations show that the algorithm is effective and robust. (C) 2005 Elsevier B.V. All rights reserved.
机译:许多已知的基于二阶统计(SOS)的MIMO信道估计盲算法,包括子空间(SS)和线性预测(LP)方法,对信道阶高估很敏感。为了克服这个问题,在[IEEE Trans。仅针对SIMO系统的信号处理50(6)(2002)1449-1458],然后在[信号处理84(2)(2004)435-439]中提出了其对MIMO系统的简单概括。本文对[Signal Processing 84(2)(2004)435-439]中的算法进行了改进和改进,使该方法对噪声和舍入误差具有鲁棒性。当仅知道所有MIMO信道阶数的上限时,该方法可以给出受矩阵模糊性影响的所有信道冲激响应的估计。仿真表明,该算法是有效且鲁棒的。 (C)2005 Elsevier B.V.保留所有权利。

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