A Weighted OMP Algorithm for Compressive UWB Channel Estimation
A Weighted OMP Algorithm for Compressive UWB Channel Estimation
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DOI：
10.4028/www.scientific.net/amm.392.852
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发表时间：
2013-09
期刊：
影响因子：
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通讯作者：
G. Li;De Qiang Wang;Z. Zhang;Zhi Yong Li
中科院分区：
文献类型：
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作者：
G. Li;De Qiang Wang;Z. Zhang;Zhi Yong Li
我们研究了基于压缩采样（CS）的超宽带（UWB）信道估计，其中使用正交匹配追踪（OMP）算法从噪声测量中恢复信道波形。为了提高OMP算法在加性高斯噪声（AWGN）下的鲁棒性，提出了一种加权OMP算法。对于给定的稀疏字典，将加权因子分配给原子，并通过WOMP执行加权匹配过程。仿真结果表明，该方法具有较好的鲁棒性，可以获得更好的信道估计精度。
We investigate ultra-wideband (UWB) channel estimation based on compressive sampling (CS), where the orthogonal matching pursuit (OMP) algorithm is employed to recover the channel waveform from noisy measurements. In order to boost the robustness of OMP in the presence of additive Gaussian noise (AWGN), we propose a weighted OMP (WOMP) algorithm. For a given sparse dictionary, weighting factors are assigned to the atoms and a weighted matching process is performed by WOMP. Simulation results show that the proposed WOMP is more robust than the original OMP and can be used to gain better channel estimation precision.