{"title":"2D-DOA Estimation based on L-shaped Arrays with Unknown Mutual Coupling Conditions","authors":"Jia-Han Huang, Chun-Jie Zhang, Liang Tang","doi":"10.1109/APCAP56600.2022.10069544","DOIUrl":null,"url":null,"abstract":"The mutual coupling effect seriously affects the steering vector of the array, resulting in poor performance or even failure of the traditional algorithms and algorithms for estimation. The estimation under the mutual coupling condition generally involves the joint estimation of the mutual coupling matrix of the array and the arrival direction of the signal, which has the disadvantages of difficult search of the two-dimensional spectral peaks and large computational effort. In this paper, an estimation algorithm based on a shaped array is proposed without the need for mutual coupling matrix estimation. The estimation of the signal is accomplished by reasonably selecting two subarrays that are rotationally invariant under the influence of mutual coupling.","PeriodicalId":197691,"journal":{"name":"2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAP56600.2022.10069544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The mutual coupling effect seriously affects the steering vector of the array, resulting in poor performance or even failure of the traditional algorithms and algorithms for estimation. The estimation under the mutual coupling condition generally involves the joint estimation of the mutual coupling matrix of the array and the arrival direction of the signal, which has the disadvantages of difficult search of the two-dimensional spectral peaks and large computational effort. In this paper, an estimation algorithm based on a shaped array is proposed without the need for mutual coupling matrix estimation. The estimation of the signal is accomplished by reasonably selecting two subarrays that are rotationally invariant under the influence of mutual coupling.