Research And Development Of Broadband Polarization Radar Target Detection Algorithm

Broadband polarized system radar organically combines high-resolution imaging technology and polarization measurement technology to characterize the target more finely,and has broad application prospects in the military and civilian fields.In this thesis,with polarized broadband radar target detection as the research background,the constant false alarm detection method of the extended range target under the broadband high-resolution radar system,and simulation experiments and measured data are used for performance analysis.At the same time,the polarization information is used to extract suitable features Target detection and design and development of signal processing system using Zynq Ultra Scale + MPSoC series chips.This thesis first studies four basic target constant false alarm detection methods under the narrow-band low-resolution radar system,and analyzes their detection performance under the background of uniform Rayleigh clutter;then studies the clutter distribution model under the broadband high-resolution radar system.The relevant Rayleigh clutter is simulated,on this basis,three broadband radar target constant false alarm detection methods-energy accumulation detection,binary accumulation detection and multi-channel detection based on order statistics are studied,and the Rayleigh clutter is deduced In the background,the relationship between the false alarm probability and the threshold factor of the multi-channel detection method based on the order statistics.Monte Carlo experiments and measured data are used to compare the detection performance of the three detection methods,and the order-statistic-based and multi-channel detection method has better performance.Polarization information can describe the target characteristics more finely on the basis of high resolution.This thesis first studies the characterization method of the polarization state of electromagnetic waves,and introduces the polarization scattering matrix,polarization covariance matrix,polarization coherence matrix and polarization decomposition theory used to describe the polarization characteristics of the target.Based on the application background of broadband dual circularly polarized high-resolution target detection,a high-resolution one-dimensional range profile target detection scheme based on polarization features is proposed.The incoherent decomposition method is used to extract the polarization scattering entropy,polarization and even-order scattering The three features of the component form a three-dimensional feature space.In the training phase,a fast convex hull learning algorithm is used to train the pure clutter data samples to obtain the decision area,and then the target detection is achieved.The measured data is used to analyze and compare the detection performance.This thesis uses the ZU9 EG chip in the Zynq Ultra Scale + MPSoC series as the main control chip to design the signal processing system.On the basis of introducing the internal resources of the chip,the advantages and disadvantages of the single-core architecture of the signal processor compared with the mainstream architecture are analyzed and the hardware platform of the signal processing system is introduced.Next,on the one hand,the signal processing flow under the broadband stepped frequency system is designed,and the signal processing tasks are reasonably divided;on the other hand,the development process of the software system based on ZU9 EG and the communication interface involved in the construction process are studied.The specific software system is presented and the booting method is introduced in detail.Finally,a semi-physical simulation test system was constructed to realize the testing and functional verification of the overall process of the signal processor,and the resource occupation and real-time performance of the PS terminal were analyzed.