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Clipping noise estimation in uniform tone reservation scenario using OMP algorithm

机译:利用OMP算法夹削统一音调预留场景中的剪辑噪声估计

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In this paper, the clipping noise estimation problem based on compressed sensing (CS) is investigated when the subcarriers used for creating measurement vector are on the edge of the frequency band. Although selection of such subcarriers would not degrade data rate and is suitable for systems requiring high rates, it still weakens the performance of CS recovery algorithms especially in the presence of noise. To address this issue, a new approach based on the orthogonal matching pursuit (OMP) algorithm is proposed for improving the clipping noise estimation. Simulation results indicate that in the chosen scenario under unfavorable conditions, the proposed algorithm is still able to estimate clipping noise and according to its structure, only slightly increases the complexity of the original OMP algorithm.
机译:在本文中,当用于在频带的边缘处于用于产生测量向量的子载波时,研究了基于压缩感测(CS)的剪切噪声估计问题。虽然这些子载波的选择不会降低数据速率,并且适用于需要高速率的系统,但它仍然削弱了CS恢复算法的性能,特别是在噪声存在下。为了解决这个问题,提出了一种基于正交匹配追踪(OMP)算法的新方法来改善剪切噪声估计。仿真结果表明,在不利条件下的所选方案中,所提出的算法仍然能够估计剪辑噪声并根据其结构,仅略微增加原始OMP算法的复杂性。

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