A Survey of Target Orientation Detection Algorithms Based on GPU Parallel Computing

The ocean has rich natural resources and irreplaceable strategic role. The urgent demand for ocean exploration has promoted the rapid development of underwater acoustic engineering. Beamforming has the capability of spatial filtering, is also an important means of target bearing estimation. Beamforming is the key technology of underwater acoustic system now, and it is also one of the most computationally intensive parts in underwater acoustic signal processing. In recent years, the signal type of underwater acoustic detection has transited from narrow-band signal to wide-band signal which can carry more information, which further increases the calculation amount of beamforming, and the system has higher requirements for the speed of signal processing. Therefore, the application of parallel processing technology based on graphics processor platform to the acceleration of underwater acoustic array signals will have significant practical value.