Multi-Function Radar Modeling: A Review
Yurui Zhao, Xiang Wang, Zhitao Huang
Abstract
The widespread and massive application of multi-function radars (MFRs) pushes MFR modeling to become a recognized need in electronic intelligence (ELINT). Since pioneer research has made trials in the model-centric ELINT from various viewpoints, a universal hierarchical modeling framework is needed at the emergence. To fill the absence and capture future trends, we illustrate the mathematical logic in modeling MFR and propose an MFR modeling framework (named MFRModeling) by studying and summarizing current literature. To be specific, the MFRModeling contains pulse interception, pulse representation, hierarchical model design, pulse dictation, and evaluation. For the pulse dictation step, we design a novel two-stage processor, comprising of the pulse-to-symbol and symbol-to-symbol transformer. Based on the proposed MFRModeling, current literature’s phases are extracted, grouped, and compared. Finally, recent research trends and the overarching future outlook for MFR modeling in next-generation ELINT are discussed.