UAV Acoustic Detection Based on Non-Parametric Fusion of Spatial-Frequency Characteristics of Sound Field

In order to investigate the sound source identification problem with complex multi-sources aliasing, owing to the target signal is mixed with more interference noise, there will be a lot of wild points in the location results of the traditional location algorithm, so it is impossible to estimate the target accurately. This paper proposes to use the high-resolution acoustic imaging processing algorithm to obtain the space-frequency information matrix of the sound field in the target region, and design the Parzen window function based on non-parameter estimation to calculate the probability density function (PDF) of spatial distribution for wide-band frequency information. After that, a target detection and localization model which jointly optimizes spatial-frequency characteristics is established according to the joint distribution of the target in the characteristic frequency band and the spatial region. The simulation and experimental results of the UAV acoustic detection show that the proposed method has good anti-interference capability and can realize the effective detection and localization of the sound target under complex environment.