压缩功率谱，通过PARAFAC分解估计载波和DOA

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Pub Date : 2017-12-01 DOI:10.1109/CAMSAP.2017.8313106

Jun Fang, Feiyu Wang, Hongbin Li

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引用次数: 3

摘要

本文研究了在亚奈奎斯特采样框架下宽带频谱感知和到达方向估计的联合问题。提出了一种新的基于相控阵的亚奈奎斯特接收机结构，该结构的每个传感器输出只需要一个延迟通道，因此可以简单有效地实现。我们提出了一种基于CANDECOMP/PARAFAC (CP)分解的联合宽带频谱感知和DOA估计方法，利用不同传感器输出之间的相互关系。给出了不同天线数和信噪比下的仿真结果，验证了算法的有效性。

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Compressed power spectrum, carrier and DOA estimation via PARAFAC decomposition

This paper considers the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation in a sub-Nyquist sampling framework. A new phased-array based sub-Nyquist receiver architecture, which requires only a single delay channel for each sensor output and thus can be implemented simply and efficiently, is proposed. We proposed a CANDECOMP/PARAFAC (CP) decomposition-based method for joint wideband spectrum sensing and DOA estimation through exploiting the cross-correlations between different sensor outputs. Simulation results under different numbers of antennas and signal to noise ratios (SNR) are provided to corroborate our proposed algorithm.

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2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

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