Wideband DOA estimation via low rank and denoising covariance matrix reconstruction-Reference-Cited by-同舟云学术

Wideband DOA estimation via low rank and denoising covariance matrix reconstruction

Published:2022-10-25 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)
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Author:

Shi Juan¹,Huang Lihuan²,Wang Weidong³,Chen Quanhe¹,Shi Xuan¹

Affiliation:

1. Air Force Engineering University,Air Defence and Missile Defence Institute,Xi’an,China,710051

2. Xi’an Aeronautics Computing Technique Research Institute,AVIC,Xi’an,China,710068

3. Henan Polytechnic University,School of Physics and Electronic Information Engineering,Jiaozuo,China,454000

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984156/9984215/09984440.pdf?arnumber=9984440

Reference14 articles.

1. Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays

2. Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors

3. DOA estimation by MUSIC algorithm using forward-backward spatial smoothing with overlapped and augmented arrays;iwai;IEEE International Symposium on Antennas Propagation,2015

4. Covariance sparsity-aware DOA estimation for nonuniform noise

5. Sparse and low-rank decomposition of covariance matrix for efficient DOA estimation

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