Joint Estimation of DOA and Range for Near-Field Sources in the Presence of Far-Field Sources and Alpha-Stable Noise

This work presents an effective and robust methodology to achieve the joint estimation of direction-of-arrival (DOA) and range. One or more near-field sources are the signals of interest. Far-field sources and alpha-stable noise are additive interferences and will be removed in two steps. First, alp...

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Published inIEEE signal processing letters Vol. 31; pp. 406 - 410
Main Authors Liu, Tao, Wang, Mengjia, Feng, Hao, Luan, Shengyang, Zhang, Jiacheng
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Subjects
Design standards
Direction of arrival
Far fields
Near fields
Noise reduction
Random noise
Robustness (mathematics)
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Abstract This work presents an effective and robust methodology to achieve the joint estimation of direction-of-arrival (DOA) and range. One or more near-field sources are the signals of interest. Far-field sources and alpha-stable noise are additive interferences and will be removed in two steps. First, alpha-stable noise is suppressed into Gaussian or sub-Gaussian noise through a proposed mathematical limiter. Then, the near-field sources are separated from the mixed sources according to the specific technique. The two steps involve three key technologies, including noise reduction, sparse reconstruction, and subspace decomposition. In the experiments, we design an assessment standard for missing detection in data calculation, which is of utmost importance to demonstrate the novel methodology's superiority compared to the other existing competitive ones.
AbstractList This work presents an effective and robust methodology to achieve the joint estimation of direction-of-arrival (DOA) and range. One or more near-field sources are the signals of interest. Far-field sources and alpha-stable noise are additive interferences and will be removed in two steps. First, alpha-stable noise is suppressed into Gaussian or sub-Gaussian noise through a proposed mathematical limiter. Then, the near-field sources are separated from the mixed sources according to the specific technique. The two steps involve three key technologies, including noise reduction, sparse reconstruction, and subspace decomposition. In the experiments, we design an assessment standard for missing detection in data calculation, which is of utmost importance to demonstrate the novel methodology's superiority compared to the other existing competitive ones.
Author Luan, Shengyang
Wang, Mengjia
Feng, Hao
Liu, Tao
Zhang, Jiacheng
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SubjectTerms Design standards
Direction of arrival
Far fields
Near fields
Noise reduction
Random noise
Robustness (mathematics)
Title Joint Estimation of DOA and Range for Near-Field Sources in the Presence of Far-Field Sources and Alpha-Stable Noise
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