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Monopulse Imaging

Author: HeLinFeng
Tutor: LiQingXia
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Forward-looking imaging Single - pulse imaging Pulse compression Monopulse Scanning Super-resolution
CLC: TN957
Type: Master's thesis
Year: 2008
Downloads: 134
Quote: 2
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Abstract


Synthetic aperture and inverse synthetic aperture radar imaging technology is widely used two . But the former does not have a front view of high resolution imaging capability , the latter imaging and dependent on the rotational movement of the target motion , and therefore, they are restricted application in . Single - pulse technique with angle measurement , high precision, fast access to data rate , and strong anti-interference , and has a forward-looking imaging capability has important applications in the field of radar detection . Departure from the basic working principle of the single - pulse radar based on pulse compression technology division and amplitude of the high-resolution distance unit - and the difference monopulse technology , and combined with simulation work on high-resolution effect and single- pulse and Poor antenna and its angle measurement were analyzed. Although monopulse angle will produce flicker , but it is to a certain extent reflect the the target lateral distribution of information . This characteristic, the scanning system of the single pulse imaging system model , and propose a scanning single pulse imaging algorithm , the basic idea is the use of mobile scattering centers with the antenna scan imaging processing . Multiple point target simulation show that the algorithm has good imaging results . The same time, the analysis shows that the high-resolution range cell division and monopulse angle , broadband linear FM signal can increase the distance of the image resolution , narrow beam antennas can improve the azimuth resolution of the image , these conclusions are obtained in the simulation verified. In a single pulse scan imaging processing , the introduction of super-resolution algorithm to improve the single- pulse imaging system azimuth resolution . The method uses high-frequency boost ( HFR , High Frequency Raised ) inversion method to improve the resolution of the image in azimuth . Its principle is for a receiving antenna , a smoothing effect equivalent to achieve the purpose of the beam width is reduced using the antenna pattern inversion of the signal at the antenna aperture distribution . Simulation results show that the method can improve the azimuth resolution of the image . HFR method is easy to produce higher sidelobes , the improved method of the weighting processing using the received signal inversion results . The simulation results show that the algorithm effectively suppresses the sidelobe imaging quality .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar
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