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 select...

Full description

Bibliographic Details
Main Authors: Meiyan Pan, Jianjun Chen, Sudao Xie, Shengli Wang
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0640
Description
Summary: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.
ISSN:2051-3305