Landing gear noise is the main contribution component of modern large aircraft body noise during takeoff and landing, and its mechanism is complex, including bluff body turbulent vortex shedding noise, cavity noise of cavity components and nonlinear coupling noise between landing gear cabin and strut column. Because of the complex three-dimensional flow field in the landing gear and the noise generated by the reflection and diffraction of acoustic waves, and the poor vertical resolution of two-dimensional microphone array, it is impossible to obtain the complete and accurate three-dimensional spatial distribution information of the sound sources. Therefore, the three-dimensional microphone array technology is used to study the landing gear noise. In this paper, 3D Beamforming algorithm (Beamforming algorithm) and 3D CLEAN-SC algorithm (spatial coherent CLEAN algorithm) were used to identify and locate the specific discrete sound sources in the spectrum obtained from analog signals and actual measured data by combining synchronous and asynchronous measurement methods. The open-end aerodynamic noise experiment was carried out in the D5 low-speed wind tunnel of Beihang University. Taking LAGOON landing gear with 1/2 scale as the research object, two planar arrays were arranged in the overhead direction and the direction of flow to form a three-dimensional array for synchronous and asynchronous noise measurement, and the location of the main noise sources in the landing gear was determined, which provides a new reference and thinking for cognitive noise mechanism.