An Efficient Radar Detection Method of Maneuvering Small Targets

作     者：Hongchi Zhang Yuan Feng Shengheng Liu Hongchi Zhang;Yuan Feng;Shengheng Liu

作者机构：School of Information and ElectronicsBeijing Institute of Technology and Beijing Key Laboratory of Fractional Signals and SystemsBeijing 100081China School of Information Science and EngineeringSoutheast UniversityNanjing 210096China 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2024年第33卷第1期

页      面：1-8页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：supported in part by the National Natural Science Foundation of China (Nos.62171029,61931015,U1833203) Natural Science Foundation of Beijing Municipality (No.4172052) supported in part by the Basic Research Program of Jiangsu Province (No.SBK2019042353) 

主　　题：small target chirp sparse fractional Fourier transform(FrFT) 

摘      要：Detection of maneuvering small targets has always been an important yet challenging task for radar signal *** primary reason is that target variable motions within coherent processing interval generate energy migrations across multiple resolution bins,which severely deteriorate the parameter estimation performance.A coarse-to-fine strategy for the detection of maneuvering small targets is *** of small points segmented coherently is performed first,and then an optimal inter-segment integration is utilized to derive the coarse estimation of the chirp *** fractional Fourier transform(FrFT)is then employed to refine the coarse estimation at a significantly reduced computational *** results verify the proposed scheme that achieves an efficient and reliable maneuvering target detection with-16dB input signal-to-noise ratio(SNR),while requires no exact a priori knowledge on the motion parameters.