Abstract
The performance of high-frequency skywave over-the-horizon radar is affected by transient interference. Traditional methods are used to suppress the transient interference in several steps. First, the position of the transient interference is detected in the time domain, and then the corrupted time samples are set to zeros. Then, the partial data are reconstructed by interpolation. However, the performance of the target detection would be decreased if the interference corrupts a significant portion of the received signal. In this letter, a novel approach based on robust principal component analysis (RPCA) is proposed to suppress the transient interference. Using a Hankel structured matrix constructed by the received signal in a given range cell, the transient interference excision is solved by RPCA, and a modified singular value thresholding algorithm is proposed to address the convex optimization problem. Without transient interference location and data interpolation, the proposed method can remove the transient interference, and it is also helpful for noise suppression. The experimental results show the effectiveness of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
