Joint Coprime Weights Optimization for Sub-Nyquist Tensor Beamforming
Author:
Affiliation:
1. College of Information Science and Electronic Engineering, Zhejiang University,Hangzhou,China,310027
2. School of Automation, Hangzhou Dianzi University,Hangzhou,China,310018
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9764147/9763897/09764278.pdf?arnumber=9764278
Reference48 articles.
1. Separable linearly constrained minimum variance beamformers
2. Adaptive tensorial beamformer based on electromagnetic vector-sensor arrays with coherent interferences
3. Tensor decompositions, alternating least squares and other tales
4. Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
5. Re-search progress on coprime array signal processing: Direction-of-arrival estimation and adaptive beamforming;zhou;Journal of Radars,2019
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Autoregressive Power Spectrum-Based Covariance Matrix Reconstruction for Robust Adaptive Beamforming;Circuits, Systems, and Signal Processing;2023-09-27
2. Sub-Nyquist Tensor Beamformer: A Coprimality Constrained Design;IEEE Transactions on Signal Processing;2023
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