INCREMENTAL COMPLEX L1-PCA FOR DIRECTION-OF-ARRIVAL ESTIMATION
INCREMENTAL COMPLEX L1-PCA FOR DIRECTION-OF-ARRIVAL ESTIMATION
复制标题
用于估计到达方向的增量复杂 L1-PCA
DOI：
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发表时间：
2018
期刊：
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通讯作者：
Panos P. Markopoulos
中科院分区：
文献类型：
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作者：
M. Dhanaraj;Dimitris G. Chachlakis;Panos P. Markopoulos
在无线节点定位中，接收机处理由其天线阵列收集的快照，以估计感兴趣的源的到达方向（DoA）。高分辨率测向通常通过对所收集的复值快照进行主成分分析（PCA）（基于子空间的方法）来执行。标准PCA最近被抗腐蚀的L1-PCA取代，以抵消意外的间歇性干扰的不利影响。在本文中，我们提出了复杂的L1-PCA的第一个增量方法，并采用它的在线方向发现，快照自然到达流的方式。我们的数值研究证实了所提出的方法的计算效率和抗干扰/腐败。
In wireless-node localization, the receiver processes snapshots collected by its antenna array in order to estimate the direction-of-arrival (DoA) of a source of interest. High-resolution direction finding is commonly carried out by principal-component analysis (PCA) of the collected complex-valued snapshots (subspace-based methods). Standard PCA was recently replaced by corruption-resistant L1-PCA in order to counteract the detrimental impact of unexpected, intermittent jamming. In this paper, we present the first incremental method for complex L1-PCA and employ it for online direction finding, as snapshots naturally arrive in a streaming fashion. Our numerical studies corroborate the computational efficiency and jamming/corruption resistance of the proposed method.