Robust target detection within sea clutter based on graphs
Document Type
Article
Publication Date
9-1-2019
Abstract
In this paper, a novel robust graph-based adequate and concise information representation paradigm is explored. This new signal representation framework can provide a promising alternative for manifesting the essential structure of random signals. A typical application, namely, target detection within sea clutter, can thus be carried out using our proposed new graph-based signal characterization. According to Monte Carlo simulation results, the proposed graph-based signal (target) detection method leads to the outstanding performance, compared to other existing techniques, especially when the signal-to-noise ratio is rather small (0-6 dB). This new graph-based target detector can be expected to be the future backbone technique for identifying and tracking marine vessels using high-resolution radars.
Publication Source (Journal or Book title)
IEEE Transactions on Geoscience and Remote Sensing
First Page
7093
Last Page
7103
Recommended Citation
Yan, K., Bai, Y., Wu, H., & Zhang, X. (2019). Robust target detection within sea clutter based on graphs. IEEE Transactions on Geoscience and Remote Sensing, 57 (9), 7093-7103. https://doi.org/10.1109/TGRS.2019.2911451