Application of the sparse decomposition to micromotion target detection embedded in sea clutter

Abstract

The sparse decomposition principle is introduced and a detection algorithm of target with micro-motion embedded in sea clutter is proposed, which can detect and extract micro-Doppler (m-D) signals in low signal-to-clutter ratio environment. Firstly, the three dimensional model of radar echo from micro-motion target is established including the 3-D rotated movements (pitch, roll, and yaw movements). Then, the detection algorithm based on matching pursuit sparse decomposition is proposed with chirp dictionary according to the form of m-D signals. The grading iterative method is employed for fast computation. In the end, simulations with dataset from the intelligent pixel processing radar verify the effectiveness as well as superiority over the commonly used detector based on Fourier transform dictionary.