Adaptive Detectors for Mismatched Signal under Sea Clutter Background with Generalized Inverse Gaussian Texture
Considering mismatched problem between theoretical steering vector and actual steering vector causes false-alarm-rate increase in the process of maritime radar detection,the adaptive mismatched detectors are studied under Compound Gaussian Model(CGM).In order to reject mismatched signal,the fictitious signal orthogonal to theoretical steering vector is introduced in the null hypothesis,and a target detection with mismatched signal is given.The texture component of CGM is represented by generalized inverse distribution,and the Adaptive Beamformer Orthogonal Rejection Test(ABORT)is developed based on two-step Generalized Likelihood Ratio Test(GLRT)and Maximum A Posteriori GLRT(MAP GLRT)criterions respectively.Both the proposed detectors are testified to have Constant False AlaRm(CFAR)characteristics for speckle covariance matrix and target doppler steering vector.Experimental results based on simulated and real measured sea clutter data indicate that the proposed mismatched detectors show preferable target detection performance under the matched steering vector condition and anti-mismatch capability under the mismatched steering vector condition.
Sea clutterCompound-Gaussian model with Generalized Inverse Gaussian texture(CG-GIG)Mismatched detectionAdaptive Beamformer Orthogonal Rejection Test(ABORT)
万方数据
维普
