One-Bit compressive sampling with time-varying thresholds for multiple sinusoids
One-Bit compressive sampling with time-varying thresholds for multiple sinusoids
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DOI：
10.1109/camsap.2017.8313172
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发表时间：
2017-12
期刊：
影响因子：
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通讯作者：
Christopher Gianelli;Luzhou Xu;Jian Li;P. Stoica
中科院分区：
文献类型：
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作者：
Christopher Gianelli;Luzhou Xu;Jian Li;P. Stoica
宽带频谱感知是未来认知无线电和雷达应用中的一项具有挑战性的任务。最近的研究表明，仅使用一位幅度精度的采样可以以极高的速率[1]以负担得起的方式实现。在这项工作中，使用时变阈值的一位采样被认为是线性谱估计。时变阈值允许幅度估计。提出了一种新的一比特RELAX算法用于多音频参数估计。通过一个数值例子表明，该算法具有良好的性能。
Wide-band spectral sensing is a challenging task that will be required in future cognitive radio and radar applications. Recent research has shown that sampling using only one-bit of amplitude precision can be realized at an extremely high rate [1] in an affordable manner. In this work, one-bit sampling using time-varying thresholds is considered for line spectral estimation. The time-varying thresholds allow for amplitude estimation. A novel one-bit RELAX algorithm is developed for multi-tone parameter estimation. This algorithm is shown to have excellent performance via a numerical example.