Research On Blast Furnace Imaging Radar Algorithm Based On MIMO Array

Modern large-scale blast furnace is a kind of "black box" equipment with huge energy consumption.In the process of blast furnace production,operators can not directly observe the shape and distribution of the charge level,which makes it difficult to effectively optimize and monitor the smelting process.Real-time monitoring of the charge level not only helps to optimize the smelting process and improve the smelting quality,but also helps to achieve the goal of energy saving and emission reduction.As a new type of imaging system radar,Multiple-Input Multiple-Output(MIMO)radar has many advantages such as good real-time performance,high resolution,and strong anti-interference ability,and is widely used in various fields.Based on the real-time monitoring of the charge level,this paper uses the MIMO imaging radar system to study the three-dimensional fast imaging algorithm of the blast furnace radar based on the MIMO array.Firstly,based on the basic theory the of MIMO radar imaging,this paper studies the methods of MIMO radar data acquisition,antenna layout,array performance,resolution,and array element spacing.Among them,the array performance of the MIMO radar is mainly studied,and the pattern of the orthogonal MIMO array used is simulated and analyzed.Secondly,we study the one-dimensional imaging algorithm,which is the basis of three-dimensional imaging algorithm.The one-dimensional longitudinal imaging and one-dimensional transverse imaging algorithms are derived respectively.The one-dimensional longitudinal imaging is mainly studied,the simulation results of the longitudinal imaging are given and analyzed.Based on this,a three-dimensional fast imaging algorithm for blast furnace radar based on MIMO array is studied.The back-projection algorithm based on time-domain processing and the range-migration algorithm based on frequency-domain processing are studied.The two algorithms are deduced under the MIMO radar three-dimensional imaging model.In order to further improve the imaging speed,a three-dimensional fast imaging algorithm of blast furnace radar based on MIMO array is proposed,which called distance-angle domain algorithm.Computer simulations are performed for three imaging algorithms,and the imaging simulation results of the three algorithms are given.A comparative analysis of the floating-point operations and imaging quality of the three algorithms shows that under the same computational simulation conditions,the distance-angle domain algorithm has better operation efficiency and good imaging quality.