{"title":"基于l形天线阵的DOAV估计","authors":"Webert Montlouis","doi":"10.1109/ISSPIT51521.2020.9408702","DOIUrl":null,"url":null,"abstract":"To estimate the two-dimensional Directions of Arrival (DOA) of plane waves, a planar array is often used. The L-Shaped antenna structure provides a mechanism to estimate the 2D parameters without using a fully populated planar array. This antenna array geometry has been studied when we assume the source is stationary in the observation interval. It provides a more computationally efficient 2D DOA estimation. In this paper, we study the L-Shaped antenna array when the source is rapidly moving. In this case, not only we perform the DOA estimation but additional parameters such as angular velocities in azimuth and elevation are also estimated. In this presentation, we assume a white Gaussian background noise, and the Maximum Likelihood estimator is formulated.","PeriodicalId":111385,"journal":{"name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DOAV Estimation Using L-Shaped Antenna Array Configuration\",\"authors\":\"Webert Montlouis\",\"doi\":\"10.1109/ISSPIT51521.2020.9408702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To estimate the two-dimensional Directions of Arrival (DOA) of plane waves, a planar array is often used. The L-Shaped antenna structure provides a mechanism to estimate the 2D parameters without using a fully populated planar array. This antenna array geometry has been studied when we assume the source is stationary in the observation interval. It provides a more computationally efficient 2D DOA estimation. In this paper, we study the L-Shaped antenna array when the source is rapidly moving. In this case, not only we perform the DOA estimation but additional parameters such as angular velocities in azimuth and elevation are also estimated. In this presentation, we assume a white Gaussian background noise, and the Maximum Likelihood estimator is formulated.\",\"PeriodicalId\":111385,\"journal\":{\"name\":\"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT51521.2020.9408702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT51521.2020.9408702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DOAV Estimation Using L-Shaped Antenna Array Configuration
To estimate the two-dimensional Directions of Arrival (DOA) of plane waves, a planar array is often used. The L-Shaped antenna structure provides a mechanism to estimate the 2D parameters without using a fully populated planar array. This antenna array geometry has been studied when we assume the source is stationary in the observation interval. It provides a more computationally efficient 2D DOA estimation. In this paper, we study the L-Shaped antenna array when the source is rapidly moving. In this case, not only we perform the DOA estimation but additional parameters such as angular velocities in azimuth and elevation are also estimated. In this presentation, we assume a white Gaussian background noise, and the Maximum Likelihood estimator is formulated.