{"title":"Frequency optimization of radiation sources for correlated imaging radar based on distribution entropy","authors":"Tingting Qian, Qingquan Meng, Guanghua Lu","doi":"10.1109/RADAR.2016.8059307","DOIUrl":null,"url":null,"abstract":"For the purpose of obtaining high-resolution in staring correlated imaging radar system, improving the stochastic properties of radiation sources is an effective pathway, while the frequency hopping pattern of transmitting signals is an important parameter that affects the randomness of radiation sources. In this paper, a novel concept of distribution entropy is proposed with its mathematical expression, which quantitatively describes the temporal-spatial stochastic characteristics of microwave radiation sources. Furthermore, five frequency assignment strategies of radiation sources have been designed by using genetic algorithm with the principle of maximizing the distribution entropy. Numerical simulations are performed and the results show that the designed frequency assignment strategy with high distribution entropy will improve the recovery performance of image efficiently.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
For the purpose of obtaining high-resolution in staring correlated imaging radar system, improving the stochastic properties of radiation sources is an effective pathway, while the frequency hopping pattern of transmitting signals is an important parameter that affects the randomness of radiation sources. In this paper, a novel concept of distribution entropy is proposed with its mathematical expression, which quantitatively describes the temporal-spatial stochastic characteristics of microwave radiation sources. Furthermore, five frequency assignment strategies of radiation sources have been designed by using genetic algorithm with the principle of maximizing the distribution entropy. Numerical simulations are performed and the results show that the designed frequency assignment strategy with high distribution entropy will improve the recovery performance of image efficiently.