Low-Complexity Algorithms for Multichannel Spectral Super-Resolution

Xunmeng Wu; Zai Yang; Zongben Xu

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arXiv · 2411.10938

Low-Complexity Algorithms for Multichannel Spectral Super-Resolution

Xunmeng Wu·Zai Yang·Zongben Xu

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Abstract

This paper studies the problem of multichannel spectral super-resolution with either constant amplitude (CA) or not. We propose two optimization problems based on low-rank Hankel-Toeplitz matrix factorization. The two problems effectively leverage the multichannel and CA structures, while also enabling the design of low-complexity gradient descent algorithms for their solutions. Extensive simulations show the superior performance of the proposed algorithms.

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BibTeX RIS

Xunmeng Wu, Zai Yang, Zongben Xu. 2024-11-17. Low-Complexity Algorithms for Multichannel Spectral Super-Resolution. https://arxiv.org/abs/2411.10938

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