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An adaptive least squares channel estimation based on conjugate gradient approach for multipath fading CDMA systems

机译:基于共轭梯度法的自适应最小二乘信道估计用于多径衰落CDMA系统

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摘要

Multiple access interference (MAI) is the main factor affecting the performance of channel estimation techniques for code division multiple access (CDMA) systems. Although, several multi-user channel estimation algorithms have been proposed to mitigate MAI, these algorithms require high computational complexities. In this paper, we address the problem of iterative least squares (LS) mobile channel estimation at high channel efficiency that requires a short training sequence along with the spreading sequences. We employ an efficient iterative method based on conjugate gradient (CG) algorithm to reduce the computational complexity of the estimation method. Computer simulations illustrate that the proposed method performs almost identical to the exact LS estimate for reasonable training lengths.
机译:多址干扰(MAI)是影响码分多址(CDMA)系统的信道估计技术性能的主要因素。尽管已经提出了几种多用户信道估计算法来减轻MAI,但是这些算法需要很高的计算复杂度。在本文中,我们解决了在信道效率较高的情况下,迭代最小二乘(LS)移动信道估计的问题,该问题需要短训练序列以及扩频序列。我们采用基于共轭梯度(CG)算法的有效迭代方法来减少估计方法的计算复杂性。计算机仿真表明,对于合理的训练长度,该方法的执行效果几乎与精确的LS估计相同。

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