Sea clutter suppression algorithm based on signal resonance

Detecting targets in maritime domain is difficult due to the complex physical mechanism of the sea clutter. A basis pursuit clutter suppression method based on improved tunable Q-factor wavelet transform (TQWT) is proposed on the analysis of tunable Q-factor. First, the calculation method for selecting an appropriate tunable Q-factor is given. Second, the TQWT with selected Q-factor is adopted to perform the sparse decomposition for the echo signals to obtain the wavelet coefficients. Then, the ‘Basis Pursuit suppressing clutter’ method is used to optimise coefficients. Finally, the target signal after sea clutter suppression is recovered by inverse TQWT. The authors also explored the influence of regularisation parameter on the algorithm performance which provides basis for the practical engineering applications. The experimental results on the CSIR public dataset demonstrated the effectiveness of the algorithm.