Sparse Bayesian learning (SBL)Robust linear regressionImpulsive noiseOutlier detectionConventional direction of arrival (DOA) estimation methods are derived under Gaussian distributional assumptions on the noise and inevitably induce undesirable biases in impulsive noise environments. Therefore, in this paper, ...
Keywords: 声学矢量传感器,语者声源,到达角估计(DOA),空间稀疏表示,协方差矩阵acoustic vector sensor, speaker source, direction of arrival estimation(DOA), spatial sparse representation, covariance matrix Full-Text Cite this paper Add to My Lib Abstract: 基于声学矢量传感器(Acoustic vector sensor,AVS...
The extracted attrib- utes were fed to the long short-term memory and a sparse denoising autoencoder. AlMeer et al. [36], designed a deep learning model to track the DoA. They found that linear features were correlated with the BIS index. With respect to the work done by the ...
To overcome the limitations of traditional methods in reverberant and noisy environments, a robust multi-scale fusion neural network with attention mask is designed to improve direction-of-arrival (DOA) estimation accuracy for acoustic sources. It combines the benefits of deep learning and complex-valu...
In this paper, we consider recover the sparse target x* from 1-bit compressive sampling model (1) in the under sampling case with m < n. Originally, the ℓ0-norm is used in sparse recovery. Nevertheless, due to the nonconvexity and nonsmoothness of the ℓ0-norm, ℓ0-minimization...
DOA estimation Robust adaptive beamforming Sparse reconstruction a b s t r a c t Adaptive beamformers are sensitive to model mismatch, especially when the desired signal is present in the training data. In this paper, we reconstruct the interference-plus-noise ...
Simulation is given to demonstrate the validity and superiority of our method.Rui HuYuli FuZhen ChenJunwei XuJie TangCommunications Letters, IEEEHU R,FU Y,CHEN Z,et al.Robust DOA estimation via sparse signal reconstruction with impulsive noise[J].IEEE Communications Letters,2017,21(6):1333-1336...
We develop an innovative sparse fractal array to enhance the accuracy of DoA estimation for predicting a maximum number of uncorrelated sources with a minimum possible actual sensors. First, the 1D sparse fractal array is constructed and then it is extended to a 2D sparse fractal array for both...
Shi, L. Huang, and H. C. So, "Underdetermined DOA estimation for wideband signals using robust sparse covariance fitting," IEEE Signal Process. Lett., vol. 22, no. 4, pp. 435-439, Apr. 2015.Underdetermined DOA estimation for wideband signals using robust sparse covariance fitting. He ...
Soft-decision-driven sparse channel estimation and turbo equalization for MIMO underwater acoustic communications IEEE Access (2018) J. Li et al. Efficient use of space-time clustering for underwater acoustic communications IEEE J Oceanic Eng (2018) M. Stojanovic et al. Underwater acoustic communica...