Wireless Sensor Array Network DoA Estimation from Compressed Array Data via Joint Sparse Representation
AbstractA compressive sensing joint sparse representation direction of arrival estimation (CSJSR-DoA) approach is proposed for wireless sensor array networks (WSAN). By exploiting the joint spatial and spectral correlations of acoustic sensor array data, the CSJSR-DoA approach provides reliable DoA estimation using randomly-sampled acoustic sensor data. Since random sampling is performed at remote sensor arrays, less data need to be transmitted over lossy wireless channels to the fusion center (FC), and the expensive source coding operation at sensor nodes can be avoided. To investigate the spatial sparsity, an upper bound of the coherence of incoming sensor signals is derived assuming a linear sensor array configuration. This bound provides a theoretical constraint on the angular separation of acoustic sources to ensure the spatial sparsity of the received acoustic sensor array signals. The Cram
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Yu, K.; Yin, M.; Luo, J.-A.; Wang, Y.; Bao, M.; Hu, Y.-H.; Wang, Z. Wireless Sensor Array Network DoA Estimation from Compressed Array Data via Joint Sparse Representation. Sensors 2016, 16, 686.
Yu K, Yin M, Luo J-A, Wang Y, Bao M, Hu Y-H, Wang Z. Wireless Sensor Array Network DoA Estimation from Compressed Array Data via Joint Sparse Representation. Sensors. 2016; 16(5):686.Chicago/Turabian Style
Yu, Kai; Yin, Ming; Luo, Ji-An; Wang, Yingguan; Bao, Ming; Hu, Yu-Hen; Wang, Zhi. 2016. "Wireless Sensor Array Network DoA Estimation from Compressed Array Data via Joint Sparse Representation." Sensors 16, no. 5: 686.
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