Verification of Near Field SAR Image Formation Based on RMA in Blast Furnace Stock Lines

In this paper, the imaging of blast furnace (BF) stock line has been studied. The three-dimensional synthetic aperture radar (SAR) imaging of BF stock line is realized in anechoic chamber, which lays the foundation for the research and development of blast furnace imaging system. By improving the classical RMA algorithm, adding the original data down-sampling, targeting feature extraction, zero-filling to the frequency domain and other operations, the speed of imaging and the quality of imaging are constantly improved. The three-dimensional imaging experiments of K band and X band are implemented based on the comparative method. It has been used on the typical stock line scaling model, and the stock line scaling model consists of steel ball. The imaging error of the steel balls in the K band is analyzed.