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Research On Forward-Looking Imaging Technology Of Metamaterial Antenna Radar

Posted on:2022-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:X L LuFull Text:PDF
GTID:2518306602994309Subject:Physical Electronics
Abstract/Summary:PDF Full Text Request
Compared with traditional phased array antennas,new metamaterial antennas have many advantages such as simple system,low cost,lightness,and stable random radiation field.Therefore,metamaterial antennas have even gradually replaced phased array antennas in recent years.Although the metamaterial antenna can replace the phased array antenna to obtain higher-quality forward-looking imaging of the seeker,the metamaterial antenna must use a signal with a variable carrier frequency,which causes a phase error in the signal echo,resulting in the super-resolution correlation imaging algorithm based on compressed sensing suitable for phased array antennas,although its imaging resolution is high,and the calculation speed is fast,but it can not image normally.Therefore,this thesis proposes an improved super-resolution correlation imaging algorithm based on compressed sensing,and applies it to processing the signal echo received by the metamaterial antenna,eliminating the phase error,and enabling the seeker to be able to image normally.This not only improves the image quality,but also greatly reduces the cost.The research of this article mainly includes the following parts:(1)Introduce the development of traditional radar,forward-looking correlation imaging and metamaterial antennas,and follow up the development and trend of cutting-edge microwave correlation imaging radar.Then starting from the basic principle of quantum correlation imaging system,the principle of microwave correlation imaging is studied,and a set of main ideas of radar correlation imaging is determined by comparing the similarities and differences between optical intensity correlation imaging and radar microwave correlation imaging.Then,based on this idea,the signal model of microwave correlation imaging and the generation of random radiation fields are analyzed,and the traditional phased array antenna is compared with the new metamaterial antenna,and the similarities and differences of different antennas are analyzed.Finally,by studying the existing super-resolution correlation imaging algorithm based on compressed sensing,simulation verification and analysis of the super-resolution ability of this imaging algorithm.(2)Through the study of some basic parameters describing the characteristics of the antenna,the criteria for judging the quality of the antenna are quantified,and based on this,the electromagnetic characteristics of the metamaterial antenna are deeply studied.And by analyzing the advantages of metamaterial antennas compared to phased array antennas,it is decided to introduce metamaterials into microwave correlation imaging,and for the use of metamaterial antennas to generate random radiation fields,signals with varying carrier frequencies must be used,and the carrier frequency of the signals will vary.Bringing the phase error to the original algorithm leads to the problem of abnormal imaging.Through theoretical analysis and formula derivation,the reason for the error is analyzed,and an improved method based on the idea of equation balance is proposed.Finally,through the design a simulation experiment verifies that the improved super-resolution correlation imaging algorithm has super-resolution imaging capability,and also verifies the effectiveness of the improved algorithm for phase error compensation.(3)Use the measured data of the field experiment to conduct experimental research.First,plan the field experiment scene,then use the radiation pattern that meets the requirements of microwave correlation imaging to carry out the experiment,and introduce the details of each group of experimental scenes in detail.Finally,through the comparative analysis of each group of experimental results,the improved results are verified.The algorithm is capable of realizing super-resolution imaging and compensating phase errors.
Keywords/Search Tags:correlated imaging, metamaterials, super-resolution imaging, compressed sensing, forward looking imaging
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