An Efficient Radar Detection Method of Maneuvering Small Targets  

作　　者：Hongchi Zhang Yuan Feng Shengheng Liu 

机构地区：[1]School of Information and Electronics,Beijing Institute of Technology and Beijing Key Laboratory of Fractional Signals and Systems,Beijing 100081,China [2]School of Information Science and Engineering,Southeast University,Nanjing 210096,China

出　　处：《Journal of Beijing Institute of Technology》2024年第1期1-8,共8页北京理工大学学报（英文版）

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)。

摘　　要：Detection of maneuvering small targets has always been an important yet challenging task for radar signal processing.One 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 proposed.Integration 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 rate.Sparse fractional Fourier transform(FrFT)is then employed to refine the coarse estimation at a significantly reduced computational complexity.Simulation 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.

关 键 词：small target CHIRP sparse fractional Fourier transform(FrFT) 

分 类 号：TN957.51[电子电信—信号与信息处理]