In this article, we propose a new compressive-sampling-based approach to detect a target and obtain its direction-of-arrival (DOA) by using samples collected by a set of sensor nodes. Since these sensors sample at a rate below Nyquist, instead of the Nyquist rate, the complexity, power consumption, memory requirement, and the volume of data that needs to be exchanged between sensors, are much lower than those of the existing approaches. The proposed scheme jointly estimates the DOA, the variance of the noise, and the covariance matrix of the interference. As a result, simulations have shown that this scheme significantly outperforms techniques that simply combine the noise and the interference.gg

中文翻译：

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在存在干扰的情况下使用基于压缩采样的传感器进行 DOA 估计

在本文中，我们提出了一种新的基于压缩采样的方法，通过使用一组传感器节点收集的样本来检测目标并获得其到达方向 (DOA)。由于这些传感器以低于奈奎斯特的速率采样，而不是奈奎斯特速率，因此传感器之间需要交换的复杂性、功耗、内存要求和数据量远低于现有方法。所提出的方案联合估计了DOA、噪声的方差和干扰的协方差矩阵。因此，模拟结果表明，该方案明显优于简单地将噪声和干扰相结合的技术。gg