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Robust group compressive sensing for DOA estimation with partially distorted observations
2016
EURASIP Journal on Advances in Signal Processing
In this paper, we propose a robust direction-of-arrival (DOA) estimation algorithm based on group sparse reconstruction algorithm utilizing signals observed at multiple frequencies. The group sparse reconstruction scheme for DOA estimation is solved through the complex multitask Bayesian compressive sensing algorithm by exploiting the group sparse property of the received multi-frequency signals. Then, we propose a robust reconstruction algorithm in the presence of distorted signals. In
doi:10.1186/s13634-016-0425-0
fatcat:skdiynuipzc47k3h6bfqz476ge