SYSTEM ANALYSIS AND MODELING OF QUEUE SYSTEMS
The paper is devoted to the development and study of a new method for low-altitude surface profilingusing a synthetic aperture radar (PCA), which allows obtaining high-resolution radar images both inrange and along the track line. The paper examines in detail the theoretical foundations of PCA systems,the features of signal formation and processing, and the creation of a simulation model to test the effectivenessof the proposed method. The paper analyzes the basic principles of SAR systems, including the useof probing signals with linear frequency modulation (LFM). These signals play a critical role in achievingthe high resolution required for high-quality display of small details on the earth's surface. The paperpays attention to taking into account the features of the SAR carrier's motion, such as its speed and flightaltitude. These parameters have a significant impact on the quality of the obtained images, and their correctcontrol can significantly improve the final result. The authors consider the influence of the wavephase front and the Doppler effect on the shape of the received trajectory signal. Understanding theseprocesses is necessary for correct interpretation of data and improving the accuracy of radar images. Thepaper presents a developed simulation model in the MATLAB programming language, which allows simulatingthe operation of a radar and assessing the quality of the images obtained. This model is an importanttool for testing and optimizing the proposed method. The paper provides examples of simulationresults that confirm the performance and adequacy of the proposed model. These results show that themethod is able to operate effectively even in difficult conditions and provide high-quality radar images.Thus, the article presents a new and promising method for low-altitude profiling of a reflective surface,which can be used in a variety of fields, including scientific research, environmental monitoring, agriculture,as well as military and civilian applications
Authors
- А. А. Bognyukov
- D. Yu. Zorkin
- E. G. Shvedov
Publication Details
- Journal
- Izvestiâ ÛFU. Tehničeskie nauki
- Published
- 2024-12-28
- DOI
- https://doi.org/10.18522/2311-3103-2024-6-113-121
- Primary Topic
- Advanced Queuing Theory Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00