Zhouchen Li — accepted AI-conference papers

2024

A CCM-Based Joint DOA-Frequency Estimation and Signal Recovery with Efficient Sub-Nyquist Sampling

Liang Liu, Zhouchen Li, Jiancheng An, Lu Gan, Hongbin Li

ICASSP 2024accepted

This paper addresses key challenges caused by high sampling rates in wideband joint spectrum sensing applications. A joint Direction of Arrival (DOA) and frequency estimation algorithm is proposed by utilizing the Cross-Covariance Matrix (CCM) constructed from the outputs of an efficient undersampli…

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2024

DOA Estimation for Switch-Element Arrays Based on Sparse Representation

Liang Liu, Zhouchen Li, Jiancheng An, Lu Gan, Hongbin Li

ICASSP 2024accepted

In the context of perceiving spatial information, researchers extensively investigate the use of large-scale arrays due to their numerous advantages such as high precision and resolution, as well as increased degrees of freedom. However, large-scale arrays may be impractical in certain applications…

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