{"title":"一种用较少天线估计多DOA的新方法","authors":"D. G. Segba, N. Hakem","doi":"10.1109/USNC-URSI.2019.8861849","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new method to estimate more directions of arrival (DOA) while having fewer antennas in the array. Indeed, we decompose the original array into two subarrays. Next, we make a Hadamard product between both steering vectors of subarrays to get the Hadamard steering vector. The lasts elements of the Hadamard steering vector are vertically concatenate with original steering vector. After that we apply MUltiple SIgnal Classification (MUSIC) algorithm for estimation of DOA of source signals. We used MatLab software to make the simulations and we get very good results.","PeriodicalId":383603,"journal":{"name":"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Method for Estimation of More DOA with Less Antennas\",\"authors\":\"D. G. Segba, N. Hakem\",\"doi\":\"10.1109/USNC-URSI.2019.8861849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new method to estimate more directions of arrival (DOA) while having fewer antennas in the array. Indeed, we decompose the original array into two subarrays. Next, we make a Hadamard product between both steering vectors of subarrays to get the Hadamard steering vector. The lasts elements of the Hadamard steering vector are vertically concatenate with original steering vector. After that we apply MUltiple SIgnal Classification (MUSIC) algorithm for estimation of DOA of source signals. We used MatLab software to make the simulations and we get very good results.\",\"PeriodicalId\":383603,\"journal\":{\"name\":\"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)\",\"volume\":\"5 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 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USNC-URSI.2019.8861849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USNC-URSI.2019.8861849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Method for Estimation of More DOA with Less Antennas
In this paper, we propose a new method to estimate more directions of arrival (DOA) while having fewer antennas in the array. Indeed, we decompose the original array into two subarrays. Next, we make a Hadamard product between both steering vectors of subarrays to get the Hadamard steering vector. The lasts elements of the Hadamard steering vector are vertically concatenate with original steering vector. After that we apply MUltiple SIgnal Classification (MUSIC) algorithm for estimation of DOA of source signals. We used MatLab software to make the simulations and we get very good results.