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Time-Domain Wideband DOA Estimation Under the Convolutional Sparse Coding Framework
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DOI：10.1109/LSP.2021.3134554.png)
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Abstract
En 中文
The wideband direction of arrival (DOA) estimation problem can be formulated into a narrowband form by applying discrete Fourier Transform (DFT) to sensor measurements; however, a large number of temporal snapshots are required in order to meet the narrowband assumption in the frequency-domain. To reduce the number of snapshots required, a convolutional sparse coding (CSC) based wideband signal model is proposed for direct time-domain DOA estimation, and a group sparsity based minimization problem is formulated. Simulation results indicate that the proposed time-domain CSC (TD-CSC) based method has a better performance than the frequency-domain method, but with a higher computational complexity.
Keywords:
Direction-of-arrival estimation
Wideband
Estimation
Time-domain analysis
Discrete Fourier transforms
Convolution
Narrowband
Wideband array
DOA estimation
convolutional sparse coding
time domain
Journal
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9.6
Papers:
1.1W
Citations:
1.7W