{"title":"基于特殊天线阵结构的DOAV估计","authors":"Webert Montlouis","doi":"10.1109/ISSPIT51521.2020.9408865","DOIUrl":null,"url":null,"abstract":"Estimating the Direction of Arrival of a point using a planar array is well understood when the source is assumed stationary during the observation interval. In this paper, we classify every technique that relies on this strong assumption as a conventional approach. Many techniques have been proposed to estimate the azimuth and elevation angles pair. If we move away from this assumption and let the source move during the observation window, the parameters azimuth and elevation are now time-varying. In this case, additional parameters such as angular velocities in azimuth and elevation can also be estimated. The additional parameters can provide more accurate information to help predict the next position of the object. Often when the number of parameters of interest increases, as is the case here, the complexity of the problem also increases. In this situation, we always look for techniques to reduce computational complexity. Sometimes the reduction in complexity comes in the form of transformation, rotation, or antenna array geometry. In this presentation, we use a special antenna array structure to reduce computational complexity and estimate the planar array parameters of interest.","PeriodicalId":111385,"journal":{"name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DOAV Estimation Using Special Antenna Array Structure\",\"authors\":\"Webert Montlouis\",\"doi\":\"10.1109/ISSPIT51521.2020.9408865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimating the Direction of Arrival of a point using a planar array is well understood when the source is assumed stationary during the observation interval. In this paper, we classify every technique that relies on this strong assumption as a conventional approach. Many techniques have been proposed to estimate the azimuth and elevation angles pair. If we move away from this assumption and let the source move during the observation window, the parameters azimuth and elevation are now time-varying. In this case, additional parameters such as angular velocities in azimuth and elevation can also be estimated. The additional parameters can provide more accurate information to help predict the next position of the object. Often when the number of parameters of interest increases, as is the case here, the complexity of the problem also increases. In this situation, we always look for techniques to reduce computational complexity. Sometimes the reduction in complexity comes in the form of transformation, rotation, or antenna array geometry. In this presentation, we use a special antenna array structure to reduce computational complexity and estimate the planar array parameters of interest.\",\"PeriodicalId\":111385,\"journal\":{\"name\":\"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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/ISSPIT51521.2020.9408865\",\"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/ISSPIT51521.2020.9408865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DOAV Estimation Using Special Antenna Array Structure
Estimating the Direction of Arrival of a point using a planar array is well understood when the source is assumed stationary during the observation interval. In this paper, we classify every technique that relies on this strong assumption as a conventional approach. Many techniques have been proposed to estimate the azimuth and elevation angles pair. If we move away from this assumption and let the source move during the observation window, the parameters azimuth and elevation are now time-varying. In this case, additional parameters such as angular velocities in azimuth and elevation can also be estimated. The additional parameters can provide more accurate information to help predict the next position of the object. Often when the number of parameters of interest increases, as is the case here, the complexity of the problem also increases. In this situation, we always look for techniques to reduce computational complexity. Sometimes the reduction in complexity comes in the form of transformation, rotation, or antenna array geometry. In this presentation, we use a special antenna array structure to reduce computational complexity and estimate the planar array parameters of interest.