Design And Implementation Of Signal Processing System For Navigation Radar Based On Zynq

As a kind of shipborne or shore-based detection equipment,navigation radar is widely used in navigation guidance,coastal surveillance and weather forecast.In these applications,the signal processing system involves a variety of algorithms,and has high requirements for real-time performance and computing performance.At present,most of the conventional navigation radar signal processing systems are based on FPGA+DSP architecture.Although the performance is excellent,the cost is the complexity and development difficulty of the equipment.Zynq provides a single-chip solution for this architecture.This paper focuses on the problem of signal processing of navigation radar,carries out the research on algorithm design and implementation,and builds a set of signal processing system based on Zynq development board,which can complete the target detection of navigation radar.The details are as follows:Firstly,based on the navigation radar experiment system,the actual working scene of sea exploration is introduced.According to the working mode of the radar used in the experiment and the characteristics of the collected signals,the signal processing algorithms are classified and studied,including pulse compression,pulse accumulation,multi-frame azimuth code alignment,CFAR detection and plots centroid.Secondly,by analyzing the characteristics of complex sea surface signals,the limitations of the traditional CFAR detector are pointed out,and the improvement work is carried out.The work is divided into two parts:(1)For the problem that the detection performance decreases significantly when there are interference targets in both leading and lagging reference windows of VI-CFAR,an improved MVI-CFAR algorithm is proposed by adjusting the use strategy of SO-CFAR;(2)For the problem that the operation time of the existing two-dimensional CFAR detection window is too long or the detection probability is not accurate,a two-dimensional diamond reference window is proposed by improving the shape of the window.Simulation and experimental data show that the original problems are improved.Finally,the design and implementation of Zynq for navigation radar signal processing system are completed.All the signal processing processes proposed in this paper are mounted on the Zynq development platform,and based on the echo data format,a supplementary data analysis and result uploading scheme is designed.After the completion of the hardware platform,relying on the existing HH polarized radar in the laboratory,docking signal collector,real-time signal processing experiments were carried out.During the experiment,the data of the signal processing algorithm was verified by modules,and finally the results were packaged and sent to the supreme computer,which was displayed with PPI images through display and control software.The experimental results show that the whole design system realizes real-time processing and correct display of echo data,and basically achieves the expected effect,which provides certain design experience and reference for the miniaturization design of navigation radar.