A Modified Minimum-Coherence Sampling for Fast Spherical Near-Field Measurements
A Modified Minimum-Coherence Sampling for Fast Spherical Near-Field Measurements
复制标题
用于快速球面近场测量的改进最小相干采样
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
R. Mathar
中科院分区：
文献类型：
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作者：
C. Culotta;D. Heberling;Arya Bangun;A. Behboodi;R. Mathar
提出了一种基于最小相互相干性的改进压缩采样，用于球形近场测量。定义最小相干性的采样点后，根据等角采样原理，沿着定位器机械路径添加更多采样点。由于定位器移动的次数或长度没有增加，因此测量速度保持不变，同时获取的信息增加。利用球模系数 (SMC) 的稀疏性，使用压缩感知技术重建 SMC 矢量。该方案应用于测量数据。使用通过等角采样测量计算出的 SMC，计算给定采样点的数据。根据这些数据，使用基础追踪重建 SMC。针对具有不同采样点数的方案评估重建误差。结果表明，所提出的采样策略允许对给定的误差水平进行更快的测量。
A modified compressed sampling based on minimal mutual coherence for spherical near-field measurements is proposed. After defining the sampling points for minimal coherence, more sampling points along the positioner mechanical path are added following the principles of equiangular sampling. Since the number or length of positioner movements is not increased, the measurement speed stays the same while the acquired information is increased. Exploiting the sparsity of the Spherical Mode Coefficients (SMC), the SMC vector is reconstructed using compressed-sensing techniques. This scheme is applied to measured data. Using the SMC calculated from a measurement using equiangular sampling, the data at the given sampling points is calculated. From these data, the SMC are reconstructed using basis pursuit. The reconstruction error is evaluated for schemes with a different number of sampling points. It is shown that the proposed sampling strategy allows for faster measurements for a given error level.
DOI：
10.1109/icassp.2018.8461805
发表时间：
2018
期刊：
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子：
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作者：
Arya Bangun;Arash Behboodi;Rudolf Mathar
通讯作者：
Rudolf Mathar