Spectrum Cartography via Coupled Block-Term Tensor Decomposition

Spectrum Cartography via Coupled Block-Term Tensor Decomposition
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DOI:
10.1109/tsp.2020.2993530
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发表时间:
2019-11
影响因子:
5.4
通讯作者:
Guoyong Zhang;Xiao Fu;Jun Wang;Xile Zhao;Mingyi Hong
Guoyong Zhang;Xiao Fu;Jun Wang;Xile Zhao;Mingyi Hong
中科院分区:
工程技术1区
文献类型:
--
作者:
Guoyong Zhang;Xiao Fu;Jun Wang;Xile Zhao;Mingyi Hong

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频谱制图的目的是通过在一个地理区域内稀疏采集的有限样本,通过多个频段(即无线电地图)估计该地区的功率传播模式。传统的制图学方法大多关注于恢复聚合的射频(RF)信息,而忽略了无线电地图的组成部分-但细粒度的发射器级别的RF信息是人们非常感兴趣的。此外,由于法律/隐私/安全问题,许多现有的制图方法显式或隐式地假定随机空间采样方案可能难以实施。许多现有方法的理论方面(例如,无线电地图的可识别性)也不清楚。在这项工作中,我们提出了一种基于块-项张量耦合分解的联合无线电MAP恢复和解聚方法。我们的方法保证了在现实条件下,每个发射器的单个无线电地图(从而也是聚合无线电地图)的可识别性。可辨识性结果在多种地理抽样模式下都成立,包括一些实用的系统抽样策略。针对已制定的无线地图解聚问题,提出了有效的优化算法。大量的仿真结果表明了该方法的有效性。
Spectrum cartography aims at estimating power propagation patterns over a geographical region across multiple frequency bands (i.e., a radio map)—from limited samples taken sparsely over the region. Classic cartography methods are mostly concerned with recovering the aggregate radio frequency (RF) information while ignoring the constituents of the radio map—but fine-grained emitter-level RF information is of great interest. In addition, many existing cartography methods explicitly or implicitly assume random spatial sampling schemes that may be difficult to implement, due to legal/privacy/security issues. The theoretical aspects (e.g., identifiability of the radio map) of many existing methods are also unclear. In this work, we propose a joint radio map recovery and disaggregation method that is based on coupled block-term tensor decomposition. Our method guarantees identifiability of the individual radio map of each emitter (thereby that of the aggregate radio map as well), under realistic conditions. The identifiability result holds under a large variety of geographical sampling patterns, including a number of pragmatic systematic sampling strategies. We also propose effective optimization algorithms to carry out the formulated radio map disaggregation problems. Extensive simulations are employed to showcase the effectiveness of the proposed approach.