{"title":"海洋环境下基于包络线对准的运动目标检测改进算法","authors":"Zhefeng Wu, P. Sun, Yanchao Lin, Laitian Cao","doi":"10.1145/3505688.3505695","DOIUrl":null,"url":null,"abstract":"Detection algorithm has been widely applied in water surface targets detection. However, the traditional algorithm cannot effectively detect those slow moving targets. This paper proposes a modified detection algorithm to improve accumulation gain while eliminating positional deviation of imaging output. First, the echoes of non-cooperative target are compensated by azimuth filtering. The range pulse compression and radar speed compensation are implemented subsequently. To effectively correct the range walk caused by target motion, range alignment based on profile correlation is performed. Ultimately, the aligned signals are accumulated through azimuth Fast Fourier Transform (FFT). Effectiveness of the proposed method is verified by experimental results based on simulated data.","PeriodicalId":375528,"journal":{"name":"Proceedings of the 7th International Conference on Robotics and Artificial Intelligence","volume":"129 Pt 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Improved Detection Algorithm of Moving Targets Based on Envelope Alignment in Sea Environments\",\"authors\":\"Zhefeng Wu, P. Sun, Yanchao Lin, Laitian Cao\",\"doi\":\"10.1145/3505688.3505695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detection algorithm has been widely applied in water surface targets detection. However, the traditional algorithm cannot effectively detect those slow moving targets. This paper proposes a modified detection algorithm to improve accumulation gain while eliminating positional deviation of imaging output. First, the echoes of non-cooperative target are compensated by azimuth filtering. The range pulse compression and radar speed compensation are implemented subsequently. To effectively correct the range walk caused by target motion, range alignment based on profile correlation is performed. Ultimately, the aligned signals are accumulated through azimuth Fast Fourier Transform (FFT). Effectiveness of the proposed method is verified by experimental results based on simulated data.\",\"PeriodicalId\":375528,\"journal\":{\"name\":\"Proceedings of the 7th International Conference on Robotics and Artificial Intelligence\",\"volume\":\"129 Pt 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th International Conference on Robotics and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3505688.3505695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Robotics and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3505688.3505695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Detection Algorithm of Moving Targets Based on Envelope Alignment in Sea Environments
Detection algorithm has been widely applied in water surface targets detection. However, the traditional algorithm cannot effectively detect those slow moving targets. This paper proposes a modified detection algorithm to improve accumulation gain while eliminating positional deviation of imaging output. First, the echoes of non-cooperative target are compensated by azimuth filtering. The range pulse compression and radar speed compensation are implemented subsequently. To effectively correct the range walk caused by target motion, range alignment based on profile correlation is performed. Ultimately, the aligned signals are accumulated through azimuth Fast Fourier Transform (FFT). Effectiveness of the proposed method is verified by experimental results based on simulated data.