{"title":"GEO-LEO 双稳态合成孔径雷达的性能分析和系统设计","authors":"Faguang Chang;Dexin Li;Zhen Dong","doi":"10.1109/JSTARS.2024.3457821","DOIUrl":null,"url":null,"abstract":"The geosynchronous-low-Earth-orbit bistatic synthetic aperture radar (GEO-LEO BiSAR) adopts the transceiver split system form, in which GEO SAR serves as the illuminator and LEO SAR serves as the receiver. GEO-LEO BiSAR can obtain abundant target scattering information, can realize large width imaging and reduce the receiver cost. Three parameters are selected as measurement indicators to comprehensively evaluate system performance and provide system design guidance. The spatial resolution can measure the imaging performance, the radiation resolution is the ability to distinguish the objects scattering characteristics, and the beam coverage area represents the system observation ability. They are all key parameters and are closely related to the BiSAR configuration. In this article, we use the generalized ambiguity function and integral equation model to derive the BiSAR spatial and radiation resolution expressions, and the beam coverage area calculation method is derived through geometric knowledge. These three parameters are modeled as objective functions for the system design of the multiobjective optimization problem, in which multiobjective evolutionary algorithm based on decomposition and differential evolution is used to solve the receiver orbital element. We can optimize these three parameters jointly considering their values or optimize the resolution (spatial and radiation resolution) and coverage area in sequence. Finally, the analysis correctness is verified by simulation experiments. The proposed system design method comprehensively considers the ability of observation, resolution and recognition, and can reasonably select joint or sequential optimization schemes according to the system capability requirements to guide the receiver orbital element selection.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10675347","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis and System Design in GEO-LEO Bistatic SAR\",\"authors\":\"Faguang Chang;Dexin Li;Zhen Dong\",\"doi\":\"10.1109/JSTARS.2024.3457821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The geosynchronous-low-Earth-orbit bistatic synthetic aperture radar (GEO-LEO BiSAR) adopts the transceiver split system form, in which GEO SAR serves as the illuminator and LEO SAR serves as the receiver. GEO-LEO BiSAR can obtain abundant target scattering information, can realize large width imaging and reduce the receiver cost. Three parameters are selected as measurement indicators to comprehensively evaluate system performance and provide system design guidance. The spatial resolution can measure the imaging performance, the radiation resolution is the ability to distinguish the objects scattering characteristics, and the beam coverage area represents the system observation ability. They are all key parameters and are closely related to the BiSAR configuration. In this article, we use the generalized ambiguity function and integral equation model to derive the BiSAR spatial and radiation resolution expressions, and the beam coverage area calculation method is derived through geometric knowledge. These three parameters are modeled as objective functions for the system design of the multiobjective optimization problem, in which multiobjective evolutionary algorithm based on decomposition and differential evolution is used to solve the receiver orbital element. We can optimize these three parameters jointly considering their values or optimize the resolution (spatial and radiation resolution) and coverage area in sequence. Finally, the analysis correctness is verified by simulation experiments. The proposed system design method comprehensively considers the ability of observation, resolution and recognition, and can reasonably select joint or sequential optimization schemes according to the system capability requirements to guide the receiver orbital element selection.\",\"PeriodicalId\":13116,\"journal\":{\"name\":\"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10675347\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10675347/\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10675347/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Performance Analysis and System Design in GEO-LEO Bistatic SAR
The geosynchronous-low-Earth-orbit bistatic synthetic aperture radar (GEO-LEO BiSAR) adopts the transceiver split system form, in which GEO SAR serves as the illuminator and LEO SAR serves as the receiver. GEO-LEO BiSAR can obtain abundant target scattering information, can realize large width imaging and reduce the receiver cost. Three parameters are selected as measurement indicators to comprehensively evaluate system performance and provide system design guidance. The spatial resolution can measure the imaging performance, the radiation resolution is the ability to distinguish the objects scattering characteristics, and the beam coverage area represents the system observation ability. They are all key parameters and are closely related to the BiSAR configuration. In this article, we use the generalized ambiguity function and integral equation model to derive the BiSAR spatial and radiation resolution expressions, and the beam coverage area calculation method is derived through geometric knowledge. These three parameters are modeled as objective functions for the system design of the multiobjective optimization problem, in which multiobjective evolutionary algorithm based on decomposition and differential evolution is used to solve the receiver orbital element. We can optimize these three parameters jointly considering their values or optimize the resolution (spatial and radiation resolution) and coverage area in sequence. Finally, the analysis correctness is verified by simulation experiments. The proposed system design method comprehensively considers the ability of observation, resolution and recognition, and can reasonably select joint or sequential optimization schemes according to the system capability requirements to guide the receiver orbital element selection.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.