Research On Collaborative Forward-Looking SAR-GMTI Algorithm And Software Development

Collaborative Forward Looking SAR(Synthetic Aperture Radar)has the advantages of anti-jamming,strong concealment,and the ability to eliminate the blind spot of forward vision.Scholars at home and abroad have conducted in-depth research.Among them,the ground moving target indication of the SAR-GMTI(Ground Moving Target Indication)technology has always been one of the research hotspots in this field.Software simulation technology is an effective means to study collaborative forward-looking SAR-GMTI,and has important significance for system simulation,verification of algorithm effectiveness,and evaluation of algorithm performance.At present,there is still a lack of well-functioning collaborative forward-looking SARGMTI system simulation software.In addition,the collaborative forward-looking SARGMTI involves fast echo simulation,clutter suppression,background imaging,moving target indication and other processing links.However,the existing processing methods are complicated and cannot meet the requirements of efficient processing.Aiming at the above-mentioned problems,this thesis carried out theoretical analysis,method research and software development.The main contents are as follows:1.Established a moving target echo model of cooperative forward-looking SAR,studied its time-domain echo generation method,and analyzed pulse compression theory,range migration characteristics and Doppler characteristics,etc.,in order to achieve cooperative forward-looking SAR.The research of GMTI technology has laid the foundation of the model.2.The main processing methods of cooperative forward-looking SAR-GMTI are studied,focusing on the research and analysis of distance migration correction,clutter suppression,time-domain back projection imaging against the background,and moving target indication,etc.,in order to achieve efficient processing methods The research laid a theoretical foundation.3.The parallel implementation method of collaborative forward-looking SARGMTI technology is proposed,and the echo generation,pulse compression,distance migration correction,clutter suppression,background imaging and motion based on the GPU-CUDA(Compute Unified Device Architecture)framework are designed.The parallel processing algorithm such as target indication greatly improves the processing efficiency of the algorithm and lays an algorithm foundation for the development of system simulation software.4.Developed collaborative forward-looking SAR-GMTI system simulation software,which is a C/S architecture,divided into four layers: persistence layer,network layer,business logic layer and presentation layer,with file management,process control,and commonly used mathematical operation library,FFT library,matrix operation library,algorithm library,network library,model library and other modules,with system functions such as echo generation,impulse compression,distance migration correction,clutter suppression,background imaging and moving target indication,etc.The system has complete functions,reasonable interface,good scalability,easy to maintain and upgrade.The above methods have passed theoretical analysis and simulation verification.The algorithm has high efficiency,complete simulation software functions,and good scalability.It can well meet the needs of collaborative forward-looking SAR-GMTI system simulation and algorithm performance verification.