Research On Signal Processing Technology Of High-resolution Range Profile Radar Based On Dual-pulse Group Stepped Frequenc

The acquisition of the fine structure has always been the main research in radar highresolution imaging.Stepped frequency signal,as a synthetic large bandwidth signal,has the advantages of small instantaneous bandwidth and low hardware implementation requirements,which has been widely concerned in recent years.There are range profile walks and distortions in the imaging of moving targets so that the velocity compensation is one of the key technologies in the research of frequency stepping radar.In this thesis,the high-resolution range imaging,velocity estimation,compensation algorithm and the hardware realization of signal processor are studied in depth with the dual-pulse stepped frequency radar as the object.The key researches of this paper mainly include:The imaging principle of stepped frequency radar and the stitching method of panoramic range profile at arbitrary sampling points are studied.The walking and distortion of range profile are analyzed.A speed compensation algorithm based on phase cancellation of dual-pulse radar signal is improved.And a velocity estimation method based on Manhattan distance method is researched.The signal processing hardware of the dual-pulse stepped frequency radar adopts the Zynq processing board.According to the methods of dual-pulse imaging and velocity estimation,the system flow of the signal processor is designed,and the modular design of the signal processor is completed combined with the specific hardware.Based on the stepped frequency waveform of double pulse group,a data storage method of pulse group separation is designed,which can store the pulse signals received alternately by two groups according to the address distribution.The network port transmission module based on TCP protocol is used to realize real-time and reliable transmission of original echo data.The software development of signal processing algorithm is completed based on Verilog language.A time sequence framework for parallel processing of dual-pulse composition image and velocity measurement is constructed.A data merging method based on hardware processing is designed,and the implementation method of range image stitching algorithm is optimized.A speed compensation method based on DDR data storage is used.A hardware implementation method for accurate velocity measurement based on Manhattan minimum distance method is given.Finally,the signal processing software and hardware are jointly debugged,and the correctness of signal processor logic,algorithm program and real-time signal processing are tested and verified.