source number estimation
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2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Na Wu ◽  
Ke Wang ◽  
Liangtian Wan ◽  
Ning Liu

An advanced source number estimation (SNE) algorithm based on both fuzzy C-means clustering (FCM) and data local density (DLD) is proposed in this paper. The DLD of an eigenvalue refers to the number of eigenvalues within a specific neighborhood of this eigenvalue belonging to the data covariance matrix. This local density essentially as the one-dimensional sample feature of the FCM is extracted into the SNE algorithm based on FCM and can enable to improve the probability of correct detection (PCD) of the SNE algorithm based on the FCM especially for low signal-to-noise ratio (SNR) environment. Comparison experiment results demonstrate that compared to the SNE algorithm based on the FCM and other similar algorithms, our proposed algorithm can achieve highest PCD of the incident source number in both cases of spatial white noise and spatial correlation noise.



Author(s):  
Ryo Saito ◽  
Katsuhisa Kashiwagi ◽  
Nobuya Arakawa ◽  
Shohei Hamada ◽  
Koichi Ichige


Author(s):  
Shohei Hamada ◽  
Koichi Ichige ◽  
Katsuhisa Kashiwagi ◽  
Nobuya Arakawa ◽  
Ryo Saito


Author(s):  
Shohei HAMADA ◽  
Koichi ICHIGE ◽  
Katsuhisa KASHIWAGI ◽  
Nobuya ARAKAWA ◽  
Ryo SAITO


Author(s):  
Ryo Saito ◽  
Katsuhisa Kashiwagi ◽  
Nobuya Arakawa ◽  
Shohei Hamada ◽  
Koichi Ichige


Author(s):  
Koichi Ichige ◽  
Shohei Hamada ◽  
Katsuhisa Kashiwagi ◽  
Nobuya Arakawa ◽  
Ryo Saito


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