{"title":"基于结构最小二乘的关节角和多普勒估计的改进传播子方法","authors":"Likai Guo, Ying Wu","doi":"10.1109/ICCSN.2016.7586625","DOIUrl":null,"url":null,"abstract":"A new propagator method for joint angle and Doppler estimation based on structured least squares (SLS) is proposed. By defining a new propagator matrix the proposed approach reduces the loss of array aperture. In addition, SLS which will take the specific relationship between two parts of the equation into account is utilized to enhance the estimation performance when solving the rotational invariance matrix equations. Simulation results are provided verifying the effectiveness of the proposed method.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved propagator method for joint angle and Doppler estimation based on structured least squares\",\"authors\":\"Likai Guo, Ying Wu\",\"doi\":\"10.1109/ICCSN.2016.7586625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new propagator method for joint angle and Doppler estimation based on structured least squares (SLS) is proposed. By defining a new propagator matrix the proposed approach reduces the loss of array aperture. In addition, SLS which will take the specific relationship between two parts of the equation into account is utilized to enhance the estimation performance when solving the rotational invariance matrix equations. Simulation results are provided verifying the effectiveness of the proposed method.\",\"PeriodicalId\":158877,\"journal\":{\"name\":\"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2016.7586625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2016.7586625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved propagator method for joint angle and Doppler estimation based on structured least squares
A new propagator method for joint angle and Doppler estimation based on structured least squares (SLS) is proposed. By defining a new propagator matrix the proposed approach reduces the loss of array aperture. In addition, SLS which will take the specific relationship between two parts of the equation into account is utilized to enhance the estimation performance when solving the rotational invariance matrix equations. Simulation results are provided verifying the effectiveness of the proposed method.