English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In the ocean environment, reverberation is a common and strong interferencewhich significantly degrades the performance of target bearing estimation.Meanwhile, sensor failure is inevitable in actual sonar deployment as theunderwater scene is complicated. Therefore, it is a challenge for targetdetection in the ocean reverberation with sensor failure. To address thisissue, we propose an improved approach based on the principle of low rankcharacteristics of matrix in this paper. Firstly, we utilize Hankel structuredmatrix to counteract the problem of sensor failure. Then, the algorithm ofmatrix completion (MC) based on l1-norm and l2-norm are exploited to recoverthe true signal matrix from the corrupted received matrix. Numerical resultsdemonstrate that compared with other related methods, the l1-norm providesbetter capability in the probability of recovery and shows the best robustnessof bearing estimation with the narrow beam width and low sidelobe. Moreover,the proposed approach verifies the performances of reverberation suppressionand achieves high resolution of target detection.

Ocean Reverberation Suppression via Matrix Completion with Sensor Failure