Implementation Of Target Detection Algorithms For Missile-borne MIMO Radar

Precision guidance technology plays a decisive role in modern warfare.With its excellent characteristics of flexibility,low interception and high detection capability,the missile-borne MIMO radar is more competitive than the traditional missile-borne phased array radar.Research institutions at home and abroad are also increasingly developing MIMO radar seekers.Based on the development of the signal processing system of the missile-borne MIMO radar,this paper studies the hardware implementation schemes of several target detection algorithms,and focuses on analyzing the angle-searching scheme of the missile-borne MIMO radar and the target detection scheme when the radar is looking down.Aiming at the problems of large implementation complexity based on RTL development time algorithm and large calculation amount of space-time adaptive filtering,a high-level design platform is used for algorithm implementation,and a 3DT-STAP algorithm using space-time two-dimensional dimensionality reduction to reduce space-time The amount of calculation for adaptive filtering.And implement the relevant algorithm module on the existing hardware platform of FPGA+DSP architecture.The main work completed is as follows: 1.Analyze the basic working principle of the missile-borne MIMO radar,and research the several signal processing algorithms commonly used in the velocity measurement and angle measurement of the missile-borne MIMO radar in response to the target detection requirements in different states of the seeker.For the target angle search,three classic DOA estimation algorithms are analyzed and compared.For resolution and calculation considerations,the DOA estimation scheme based on the Capon algorithm is selected.When the seeker is in the oblique downward dive state,establish a ground clutter model,and use the 3DT-STAP method of space-time domain two-dimensional dimensionality reduction processing to generate a space-time two-dimensional filter to suppress the ground clutter from causing target detection At the same time,it greatly reduces the amount of calculation realized by the algorithm.2.In view of the characteristics of multiple sampling channels and intensive calculations of the missile-borne MIMO radar,the data flow control between the boards and the chips of the bomb-mounted MIMO radar signal processing system is implemented on the signal processor platform of the high-performance FPGA + DSP architecture Reasonably allocate a large amount of calculation data.Including 12 channels of ADC data acquisition channels,FPGA high-speed data interconnection between boards and FPGA and DSP-based Serial Rapid IO(SRIO)high-speed data transmission.3.In view of the complicated design process and long development cycle when building complex algorithm modules in the traditional RTL design mode of FPGA,it is proposed to accelerate with the help of Xilinx High Level Synthesis(HLS)and System Generator for DSP(System Generator)FPGA realizes the scheme of signal processing algorithm for MIMO radar.Based on the above platforms,functional modules such as digital orthogonal down-conversion,pulse compression,DOA estimation based on Capon algorithm,and 3DT-STAP algorithm processing module are built in FPGA.A constant false alarm detection and target aggregation algorithm are implemented in DSP.