| With the continuous development and upgrading of radar electronic reconnaissance and jamming technologies,the electromagnetic environment in modern battlefield becomes increasingly complex,and the application bottleneck and performance disadvantage of traditional missile-borne phased array radar seeker are gradually revealed.At the same time,MIMO radar has become the focus of research in the field of precision guidance at home and abroad due to its excellent characteristics compared with traditional phased array radar in terms of low interception,anti-interference and low small target detection and tracking.Many domestic research institutes have also carried out research on MIMO radar seekers,but due to the late start,the theoretical and technical research on the engineering application of missile-borne MIMO radar is still insufficient.Under the above background,combined with specific scientific research tasks,this paper deeply studies the target detection,tracking and anti-jamming methods of missile-borne MIMO radar,and combines two anti-jamming algorithms based on adaptive digital beamforming technology with missile-borne MIMO radar to achieve effective suppression of main-lobe jamming.In order to deal with the problems of many transmit and receive signal channels and complex implementation of array signal processing algorithms in missile-borne MIMO radar,a missile-borne MIMO radar signal processing platform based on radio-frequency system-on-chip RFSoC is designed according to the criteria of miniaturization,high integration,high performance and low power consumption,and based on this platform,the real-time signal processing scheme of missile borne MIMO radar target detection and tracking and anti-jamming is studied,and the software and hardware design of relevant algorithm module is completed,the specific work completed is as follows:1.The basic working principle of the missile-borne MIMO radar is expounded,the antenna array model of the missile-borne MIMO radar is established,and the transceiver signal model of the sub-array level and the basic signal processing methods of various target detection and tracking are studied and analyzed in detail.Secondly,in view of the main lobe jamming countermeasures of missile-borne MIMO radar in the terminal guidance stage,a variety of common active jamming types are introduced,and two adaptive anti-main lobe jamming algorithms are analyzed,and the effectiveness of the two algorithms applied to missile-borne MIMO radar is verified by MATLAB simulation experiments.2.The basic signal processing flow of missile-borne MIMO radar target detection and tracking is introduced and the processing architecture of the two adaptive anti-jamming algorithms mentioned above is sorted out.In order to meet the resource requirements of multiple complex algorithms for missile-borne MIMO radar and the development requirements for miniaturization and high integration of missile-borne platforms,a miniaturized missile-borne MIMO radar signal processing hardware platform is designed based on the RFSoC chip developed by XILINX,and the hardware architecture and several key circuits of the platform are introduced and analyzed.3.Completed the design of the algorithm implementation scheme for real-time target detection and anti-jamming processing of missile-borne MIMO radar,the software and hardware design of several basic signal processing algorithm modules and two adaptive antijamming algorithm modules of RFSoC PL terminal are designed by XILINX company’s HLS tool and System Generator,based on the quad-core ARM processor on the PS terminal,the moving target detection,constant false alarm detection,target condensation and singlepulse ratio angle measurement algorithms are implemented.The resource consumption and running speed of each algorithm module are analyzed in detail,and the implementation architecture of some adaptive algorithm modules is optimized,which further improves the real-time performance of the signal processing scheme. |
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