有源相控阵雷达的工作模式识别方法现状与展望OA

Active electronically scanned array(AESA)radar operational mode recognition is a core technolo-gy in modern electronic reconnaissance and countermeasures.In complex electromagnetic environments,highly reliable radar operational mode recognition methods still face technical bottlenecks.Therefore,in accordance with the technological evolution of operational mode recognition methods for AESA radar,this paper categorizes them into four mainstream approaches:parameter matching,signal modeling,traditional machine learning and deep learning,then analyzes the characteristics and limitations of each method,and finally dissects the key issues hin-dering the practical application of deep learning methods,with feasible solutions proposed,offering a reference for advancing the engineering application of deep recognition techniques.