基于压缩采样的MVDR频谱感知

2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI:10.1109/CIP.2010.5604239

Y. Wang, A. Pandharipande, G. Leus

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引用次数: 20

摘要

我们提出了一种基于压缩采样(CS)的MVDR频谱估计器，它通过亚奈奎斯特速率采样从压缩信号中估计宽带频谱。为了分析检测性能，我们推导了有限样本下估计的CS MVDR谱的统计量。我们还表明，不同的压缩矩阵会产生不同程度的信号泄漏，并影响检测阈值的计算。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Compressive sampling based MVDR spectrum sensing

We propose a compressive sampling (CS) based MVDR spectrum estimator, which estimates the wideband spectrum from the compressed signals with sub-Nyquist-rate sampling. To analyze detection performance, we derive the statistics of the estimated CS MVDR spectrum considering finite samples. We also show that different compression matrices produce different levels of signal leakage and influence the computation of detection thresholds.

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2010 2nd International Workshop on Cognitive Information Processing

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