起落架气动噪声源分析的目的是为了能够准确定位主要气动噪声源，为基于试验数据的半经验方法及起落架设计提供理论支撑和技术依据。在闭口风洞或开口射流消音实验室中使用麦克风阵列和波束成形算法是目前起落架气动噪声源分析的重要手段。本项目运用现代信号处理最新研究成果，并根据起落架气动噪声源的空间稀疏性和宽频带特性，提出研究基于压缩感知联合稀疏重构的起落架气动噪声源分析，能够解决现有波束成形算法不能处理低频带噪声源和扩展噪声源、会产生违背物理规律的负噪声源和假噪声源等问题。集中研究：建立噪声源到麦克风阵列的测量互谱矩阵、去除背景噪声影响方法、联合稀疏重构表达模型和重构算法、麦克风阵列布局优化算法等关键技术、探索噪声源数目超过麦克风数目的可重构条件理论。最终目标是：建立一整套集麦克风阵列、压缩感知联合稀疏重构算法的起落架气动噪声源分析系统。研究成果还能为绕流结构体的气动噪声源分析奠定较好的技术和理论基础。

The aim for the study on aeroacoustic sources of the landing gear is to locate the positions of the main aeroacoustic sources, and support semi-experiential methods and the design for the landing gear.The using of microphone array and beamforming algorithms in closed wind tunnel and open jet anechoic chamber has become the important approach for the study on aeroacoustic sources of the landing gear. In this project, according to the spatial sparsity and wide frequency band of aeroacoutic sources, the study on aeroacoustic sources of landing gears based on compressed sensing joint sparsity recovery is proposed.The researcing findings can solve the aeroacoustic sources in low frequency band, extended aeroacoustic sources, and avoid the negative sources and false sources in beamforming methods. In the project, we will concentrate on researching the building the measured cross spectrum matrix, the method of removing the affact of background noise, the joint sparsity expressing model, joint sparsity recovery algorithm, the optimization algorithm for the layout of microphones and the theroy for recovering conditions. the final goal of the project is to build one integrated system including the microphone array and the compressed sensing joint sparity recovery algorithm for the study on the aeroacoustic sources of landing gears. The reseach findings also can provide the technical and theory support for the study on the aeroacoutic sources of the flow structure.