Abstract:

Aiming at the problem that the echo signals of moving targets on the sea surface are difficult to detect in the background of a strong sea clutter,a sea clutter suppression algorithm (SVD-MTI algorithm for short) is proposed,which combines singular value decomposition (SVD) and dual delay line pair elimination algorithm.First,the pulse-compressed target echo signals are periodically rearranged into a matrix of fast and slow time dimensions,and the periodic singular value decomposition is performed;Then,it is proposed that the threshold value of the singular value corresponding to the signal and the input signal to clutter plus noise ratio obey Gaussian distribution,and that the threshold value is used to judge the energy singular value exponential ratio,so as to realize the adaptive distinction between sea clutter and target signal.Finally,dual delay line pair elimination is performed on the reconstructed target signal to suppress the clutter and minimize the loss of the target signal.The performance of the algorithm is experimentally verified by using the measured data.Compared with the existing sea clutter suppression algorithm,the proposed method can adapt to the change of the signal to clutter plus noise ratio of the target echo sequence,and can still suppress most of the clutter when the input SCNR is -30dB,and accurately detect the signal,which verifies that the new algorithm has a better suppression effect and a better detection performance.

Key words: target detection, sea clutter, clutter suppression, singular value decomposition, dual delay line pair elimination algorithm