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Underwater acoustic target detection is to take target information from underwater acoustic and identify it, and effective underwater acoustic beacon detection plays a very important role in modern ocean development. Firstly, the equipment used in underwater acoustic target detection and its working mode are introduced, and a test scene is set up to collect underwater acoustic echo. Secondly, the detection algorithm of hydroacoustic beacon is studied. Compared with different filtering algorithms, the median filtering method has better denoising effect. The gray histogram is analyzed, and the gray range of the target is enhanced. The image segmentation algorithm is studied, and an adaptive iterative segmentation algorithm is designed, which has better processing effect than other methods. Search the connected domain of the segmented image and screen the target, so as to identify the target to be detected; The experimental results verify the effectiveness of the underwater acoustic target detection algorithm in the detection and recognition of underwater targets.