Direction of arrival （DOA） estimation and signal recovery is the base of the under- water target localization, tracking and recognition. Based on the compressed sensing theory, a method for DOA estimation and source...Direction of arrival （DOA） estimation and signal recovery is the base of the under- water target localization, tracking and recognition. Based on the compressed sensing theory, a method for DOA estimation and source signal recovery is proposed using the single snap- shot processing of the received array signal in frequency domain. The received array signal are transformed to frequency domain, and the single snapshot data in frequency domain are re- garded as the measured data of the compressed sensing. According to the frequency, searching orientation and array manifold, the overcomplete array manifold is constructed as the sensing matrix of the compressed sensing. Both the target signal and power of the searching orientation are estimated by the basis pursuit method to complete DOA estimation and signal recovery. Simulation results show that the proposed method has a number of advantages over the mini- mum variance distortionless response （MVDR） method, including improved robustness to noise, fewer requirement in number of sensors and snapshots. And the correlation coefficient of the signal reaches up to 0.89. Experiment results in real environments verify that the proposed method performs more effectively in the detection of weak targets than the MVDR method and can be applied to real sonar system.展开更多
基金supported by the National Natural Science Foundation of China(61471378)
文摘Direction of arrival （DOA） estimation and signal recovery is the base of the under- water target localization, tracking and recognition. Based on the compressed sensing theory, a method for DOA estimation and source signal recovery is proposed using the single snap- shot processing of the received array signal in frequency domain. The received array signal are transformed to frequency domain, and the single snapshot data in frequency domain are re- garded as the measured data of the compressed sensing. According to the frequency, searching orientation and array manifold, the overcomplete array manifold is constructed as the sensing matrix of the compressed sensing. Both the target signal and power of the searching orientation are estimated by the basis pursuit method to complete DOA estimation and signal recovery. Simulation results show that the proposed method has a number of advantages over the mini- mum variance distortionless response （MVDR） method, including improved robustness to noise, fewer requirement in number of sensors and snapshots. And the correlation coefficient of the signal reaches up to 0.89. Experiment results in real environments verify that the proposed method performs more effectively in the detection of weak targets than the MVDR method and can be applied to real sonar system.
