Abstract:

The detection performance of the moving target detection (MTD) method descends badly in nonGaussian correlated clutter background. Therefore, a radar target detection method based on parameter estimation for auto regressive symmetric α stable(ARSαS) model is proposed, which is obtained by the αstable distribution clutter model and the AR model. The proposed method suppresses the non Gaussian clutter by the signed power and whitens the correlated clutter by the AR model estimated by the Yule Walker equation. Finally the fast Fourier transform is used to accumulate the target signal and get higher signal clutter ratio. Simulations and real data results show that the detection performance of the proposed method obviously outperforms the MTD method in non Gaussian correlated clutter background.