Fast Three-Dimensional Imaging Method of Aerospace Targets Based on Linear Array Radar

Abstract

AbstractDistributed Array Radar (DAR) uses space diversity to obtain better detection performance. As a new configuration of DAR, Linear Array Radar (LAR) can achieve a higher frame rate and higher dimensional imaging of aerospace targets. Based on the real-virtual aperture hybrid mode, LAR obtain the three-dimensional image of the target through space–time dimensions. The imaging process using the three-dimensional Back Projection (BP) algorithm accurately reconstruct the three-dimensional image of the target, but the amount of calculation is huge. In order to solve this problem, the Fast Factorized Back Projection (FFBP) algorithm is extended to three-dimensional space. And in the Cartesian coordinate system, a detailed theoretical derivation of the subaperture coarse image interpolation method is made. Through the imaging experiment and imaging quality evaluation of ideal point targets, it is verified that the fast imaging algorithm has good imaging quality. It has only a small performance loss compared with the traditional three-dimensional BP algorithm. The imaging processing time is also greatly reduced. In addition, this paper conducts imaging experiments based on satellite model simulation data generated by Radarbase. The results show that the algorithm can reconstruct the geometric configuration of the target well, which verifies the effectiveness of this algorithm.KeywordsDistributed array radarLinear array radarAerospace targetsThree-dimensional imagingFast factorized back projection algorithm