Abstract
This paper proposed a new near-field imaging algorithm for Blast Furnace (BF) burden surface imaging. The algorithm was applied in a novel T-shaped MIMO radar. In the process of beam synthesis focusing, the proposed algorithm does precise phase compensation to realize the equiphase surface. It avoids interpolation, reduces the computational complexity, and is convenient for data batch processing concurrently, which greatly improves the efficiency of operations and enhances the real-time performance. Simulation results and the on-line test result demonstrate the effectiveness and high operational efficiency of the proposed MIMO radar imaging method which has great potential in BF burden surface imaging..
Author supplied keywords
Cite
CITATION STYLE
Fu, X., Chen, X., Hou, Q., Wang, Z., & Yin, Y. (2014). An imaging algorithm for burden surface with t-shaped mimo radar in the blast furnace. ISIJ International, 54(12), 2831–2836. https://doi.org/10.2355/isijinternational.54.2831
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.