MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance

作     者：LIU Feng MU Shanxiang LYU Wanghan LI Wenliang GE Ting 

作者机构：School of Electronic and Optical Engineering Nanjing University of Science and Technology 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2017年第26卷第1期

页      面：211-217页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the Chinese Defense Advance Research Program of Science and Technology of China(No.403040101) 

主　　题：Multiple input and multiple output(MIMO) Synthetic aperture radar(SAR) Digital beamforming(DBF) Costas Coprime arrays 

摘      要：In case of bright targets over a dark background, the cross-correlation noise of Multiple input and multiple output(MIMO) Synthetic aperture radar(SAR) orthogonal waveforms in the same frequency coverage will increase which can degrade the image. An Interpulse Costas hopping and intra-pulse Slope coded linearly frequency modulated(IPC-SCLFM) waveform is designed and analyzed to decrease the autocorrelation and cross-correlation noise. Besides a novel acquisition mode of MIMO Coprime SAR(MIMO-Cop SAR) is proposed with Coprime arrays(Co-arrays) in receive across the SAR line of flight based on digital beamforming. An improved processing by multiplying values at each pixel of two coarrays images is proposed to suppress the cross-correlation noise. MIMO-Cop SAR can effectively suppress the crosscorrelation noise, reduce the amount of data to be stored and get high signal-to-noise ratio in a simple way. The effectiveness of MIMO-Cop SAR for maritime surveillance is demonstrated by the simulation experiments.