B. Guo, Huixian Sun, Wenhua Hu, Ning Han, Huiyan Zeng, Guanjun Chen
{"title":"基于匹配傅里叶变换的机动目标检测算法","authors":"B. Guo, Huixian Sun, Wenhua Hu, Ning Han, Huiyan Zeng, Guanjun Chen","doi":"10.1109/ICCT.2018.8600102","DOIUrl":null,"url":null,"abstract":"When the radar detects the maneuvering target, there is a high-order term in the echo phase. When the coherent integration is carried out, the phenomenon of migration through Doppler cells occurs, which affects the target detection performance. Aiming at the detection problem of maneuvering target, a detection algorithm based on Matched Fourier Transform (MFT) is proposed. By constructing a basis function that is consistent with the target echo phase, the algorithm eliminated the problem of Doppler migration and can effectively estimate the motion parameters such as speed and acceleration of the target. Simulation experiments verified the effectiveness of the proposed algorithm.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection Algorithm of Maneuvering Target Based on Matched Fourier Transform\",\"authors\":\"B. Guo, Huixian Sun, Wenhua Hu, Ning Han, Huiyan Zeng, Guanjun Chen\",\"doi\":\"10.1109/ICCT.2018.8600102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When the radar detects the maneuvering target, there is a high-order term in the echo phase. When the coherent integration is carried out, the phenomenon of migration through Doppler cells occurs, which affects the target detection performance. Aiming at the detection problem of maneuvering target, a detection algorithm based on Matched Fourier Transform (MFT) is proposed. By constructing a basis function that is consistent with the target echo phase, the algorithm eliminated the problem of Doppler migration and can effectively estimate the motion parameters such as speed and acceleration of the target. Simulation experiments verified the effectiveness of the proposed algorithm.\",\"PeriodicalId\":244952,\"journal\":{\"name\":\"2018 IEEE 18th International Conference on Communication Technology (ICCT)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 18th International Conference on Communication Technology (ICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT.2018.8600102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2018.8600102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection Algorithm of Maneuvering Target Based on Matched Fourier Transform
When the radar detects the maneuvering target, there is a high-order term in the echo phase. When the coherent integration is carried out, the phenomenon of migration through Doppler cells occurs, which affects the target detection performance. Aiming at the detection problem of maneuvering target, a detection algorithm based on Matched Fourier Transform (MFT) is proposed. By constructing a basis function that is consistent with the target echo phase, the algorithm eliminated the problem of Doppler migration and can effectively estimate the motion parameters such as speed and acceleration of the target. Simulation experiments verified the effectiveness of the proposed algorithm.