基于时-频-多普勒域联合滤波的强海杂波背景下无人机检测方法OA

Under high sea conditions,sea clutter often has high echo energy and a large Doppler spectrum spread,which seriously affects the detection performance of radar for low,slow and small targets such as unmanned aerial vehicle(UAV)on the sea surface.To address this issue,this paper proposes a UAV detection method based on multi-dimensional joint filtering.The multi-layer fast multipole(MLFMM)algorithm is used to accurately simulate the radar echo of UAV,completing a more accurate and realistic target echo modeling compared to traditional simple approximation methods.Based on the time-domain,frequency-domain and Doppler-domain collaborative processing scheme,the echo energy of the target is enhanced.For strong sea clutter background,a filtering factor calculation model is established based on the ratio of the mean power spectral density of clutter and target echo,and joint filtering in the time-frequency-Doppler domain is carried out to effectively suppress sea clutter.Combined with the time-frequency ridge extraction method,the UAV detection results under strong sea clutter background are obtained.Compared with traditional UAV detection in single data domain,this method can better suppress sea clutter,has a wider application range,enabling UAV target detection and recognition under severe sea-state situation.