Hongtu Xie, Xiao Hu, Jiaxing Chen, Zhitao Wu, Guoqian Wang
{"title":"基于多通道的单稳态双基地合成孔径雷达运动目标检测与速度估计","authors":"Hongtu Xie, Xiao Hu, Jiaxing Chen, Zhitao Wu, Guoqian Wang","doi":"10.1109/ICSPCC55723.2022.9984525","DOIUrl":null,"url":null,"abstract":"One-stationary bistatic synthetic aperture radar (OS BSAR) has the advantages of the high-resolution imaging, added target information, low cost, high security, and forward-looking imaging. However, due to the stationary platform in the OS BSAR system, the existing moving target detection and speed estimation methods based on the multi-channel can’t be directly applied to the OS BSAR system. In this paper, the moving target detection and speed estimation for the OS BSAR system based on the multi-channels is proposed. According to OS BSAR geometry and the echo signal characteristics, a moving target detection method based on the multi-channels has been proposed, which can effectively suppress the clutter of the stationary targets and preserve the echo information of the moving targets. For the speed estimation of moving targets, the distance speed estimation method using the distance walking and then the azimuth speed estimation method using the moving target image azimuth offset are studied respectively, which are simple to implement and can effectively estimate the moving target speed. The simulation experiments prove the effectiveness of the proposed method.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Moving Target Detection and Speed Estimation for One-stationary Bistatic Synthetic Aperture Radar Based on Multi-channels\",\"authors\":\"Hongtu Xie, Xiao Hu, Jiaxing Chen, Zhitao Wu, Guoqian Wang\",\"doi\":\"10.1109/ICSPCC55723.2022.9984525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One-stationary bistatic synthetic aperture radar (OS BSAR) has the advantages of the high-resolution imaging, added target information, low cost, high security, and forward-looking imaging. However, due to the stationary platform in the OS BSAR system, the existing moving target detection and speed estimation methods based on the multi-channel can’t be directly applied to the OS BSAR system. In this paper, the moving target detection and speed estimation for the OS BSAR system based on the multi-channels is proposed. According to OS BSAR geometry and the echo signal characteristics, a moving target detection method based on the multi-channels has been proposed, which can effectively suppress the clutter of the stationary targets and preserve the echo information of the moving targets. For the speed estimation of moving targets, the distance speed estimation method using the distance walking and then the azimuth speed estimation method using the moving target image azimuth offset are studied respectively, which are simple to implement and can effectively estimate the moving target speed. The simulation experiments prove the effectiveness of the proposed method.\",\"PeriodicalId\":346917,\"journal\":{\"name\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCC55723.2022.9984525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC55723.2022.9984525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moving Target Detection and Speed Estimation for One-stationary Bistatic Synthetic Aperture Radar Based on Multi-channels
One-stationary bistatic synthetic aperture radar (OS BSAR) has the advantages of the high-resolution imaging, added target information, low cost, high security, and forward-looking imaging. However, due to the stationary platform in the OS BSAR system, the existing moving target detection and speed estimation methods based on the multi-channel can’t be directly applied to the OS BSAR system. In this paper, the moving target detection and speed estimation for the OS BSAR system based on the multi-channels is proposed. According to OS BSAR geometry and the echo signal characteristics, a moving target detection method based on the multi-channels has been proposed, which can effectively suppress the clutter of the stationary targets and preserve the echo information of the moving targets. For the speed estimation of moving targets, the distance speed estimation method using the distance walking and then the azimuth speed estimation method using the moving target image azimuth offset are studied respectively, which are simple to implement and can effectively estimate the moving target speed. The simulation experiments prove the effectiveness of the proposed method.