{"title":"Modeling and Simulation in Passive Bistatic Radar for Detecting Target Range and Velocity Application to USRP B-210 SDR","authors":"Thongterm Chunsangnetr, S. Chivapreecha","doi":"10.1109/ICEAST.2019.8802585","DOIUrl":null,"url":null,"abstract":"The propose of this paper is to improve the performance of Passive Bistatic Radar. The process of developed model has three steps. Firstly, the integration of the designed Passive Bistatic Radar algorithm such as coherent receiver USRP B-210, Least Mean Square (LMS) adaptive filter for noise cancellation, cross correlation for comparing similarity of two series signals and the result display on time scope for range and velocity of the targets. Secondly, the test on the overall system with the simulation targets in real time environment. Thirdly, the evaluation on the result of simulation for the range and velocity of the targets. The result of this experiment is more stable because of better synchronization receiver, noise cancellation in designed LMS which is close to the LMS simulink block, range and velocity from cross correlation for comparing similarity of the signals appear correctly. Conclusion, the simulations show that the proposed algorithms improve the performance of Passive Bistatic Radar.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAST.2019.8802585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The propose of this paper is to improve the performance of Passive Bistatic Radar. The process of developed model has three steps. Firstly, the integration of the designed Passive Bistatic Radar algorithm such as coherent receiver USRP B-210, Least Mean Square (LMS) adaptive filter for noise cancellation, cross correlation for comparing similarity of two series signals and the result display on time scope for range and velocity of the targets. Secondly, the test on the overall system with the simulation targets in real time environment. Thirdly, the evaluation on the result of simulation for the range and velocity of the targets. The result of this experiment is more stable because of better synchronization receiver, noise cancellation in designed LMS which is close to the LMS simulink block, range and velocity from cross correlation for comparing similarity of the signals appear correctly. Conclusion, the simulations show that the proposed algorithms improve the performance of Passive Bistatic Radar.