Imaging and detection under high sea state based on MDCFT and level set
In order to improve the performance of missile-borne radar constrained by ship three-dimensional oscillation and sea spikes under high sea state.A feasible imaging and detection idea is proposed.First of all,the echo model of ship and sea clutter under high sea state is established.Secondly,a modified discrete chirp Fourier transform(MDCFT)algorithm is applied for the Doppler imaging to eliminate the range Doppler(RD)image defocus caused by the high-order phase of echo.After that,the level set algorithm is used to detect the target area of the image and avoid the parameter setting steps in the constant false alarm rate(CFAR)algorithm,and the clustering algorithm is used to obtain the region of each target.Finally,the target features are extracted and used to determine whether the target is a ship.The effectiveness of the algorithm is verified by the experimental results of simulation data.This method takes into account the improvement in both imaging and detection steps,and provides a feasible idea for the guidance of missile-borne radar under high sea state.
high sea statetarget detectionlevel setmodified discrete chirp Fourier transform
万方数据
维普
