Data and Software underlying the research of: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles

This contains the data used to train and validate models created as part of the research project: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles. The research objective is to evaluate the feasibility of the concept of estimating the airspeed of a vehicle using the power spectral density of the recorded wall pressure fluctuations on the vehicle's surface. The data was collected by performing practical experiments and it is in the form of the recorded microphones' voltage signal. Included is the data gathered from both the wind tunnel and flight experiments, the datasets organized as used for the trainign and validation of the models, as well as the response curve of the microphones used (Sonion 8002). Lastly, the trained models are also added. A README file describing the contents and use of the files and definition of the used abbreviations and as well as the units of the parameeters are also included. <br> <br>

本数据集包含用于训练与验证某研究项目中开发的模型的数据，该研究项目为《麦克风作为无人机（Unmanned Aerial Vehicles）空速传感器》。本研究的核心目标是评估利用飞行器表面录制的壁面压力脉动（wall pressure fluctuations）的功率谱密度（Power Spectral Density）估算飞行器空速这一概念的可行性。本次数据集通过实物实验采集得到，数据格式为录制的麦克风电压信号。

本数据集涵盖风洞实验与飞行实验所采集的全部数据，包含经整理用于模型训练与验证的数据集，以及所用麦克风（Sonion 8002）的响应曲线；此外还收录了已训练完成的模型。本数据集附带一份README说明文件，对各文件的内容与使用方法、所用缩写的定义以及参数单位均进行了详细说明。