{"title":"基于四阶累积量的低复杂度DOA估计方法设计","authors":"Bin Lin, Guoping Hu","doi":"10.1117/12.2668628","DOIUrl":null,"url":null,"abstract":"To address the problem that the conventional algorithm has a very high complexity in estimating the Direction of Arrival (DOA) of coherent sources in the background of color noise, this paper proposes a low-complexity DOA estimation method based on the fourth order cumulant and Toeplitz matrix reconstruction. Firstly, a Fourth Order Cumulant (FOC) matrix is constructed from the received signal vector to suppress the noise component, and the redundant information in the FOC matrix is removed by storing the matrix to obtain the reduced dimensional FOC matrix. Afterwards, the Toeplitz matrix is reconstructed to extend the array aperture and to achieve decoherence. Finally, the DOA estimation of the reconstructed matrix is performed using the MUSIC algorithm. Simulations demonstrate that the DOA estimation of coherent signals in a color-noise background is less complex and maintains a higher accuracy than conventional algorithms.","PeriodicalId":259102,"journal":{"name":"Optical Technology, Semiconductor Materials, and Devices","volume":"12589 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of a low-complexity DOA estimation method based on fourth-order cumulants\",\"authors\":\"Bin Lin, Guoping Hu\",\"doi\":\"10.1117/12.2668628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To address the problem that the conventional algorithm has a very high complexity in estimating the Direction of Arrival (DOA) of coherent sources in the background of color noise, this paper proposes a low-complexity DOA estimation method based on the fourth order cumulant and Toeplitz matrix reconstruction. Firstly, a Fourth Order Cumulant (FOC) matrix is constructed from the received signal vector to suppress the noise component, and the redundant information in the FOC matrix is removed by storing the matrix to obtain the reduced dimensional FOC matrix. Afterwards, the Toeplitz matrix is reconstructed to extend the array aperture and to achieve decoherence. Finally, the DOA estimation of the reconstructed matrix is performed using the MUSIC algorithm. Simulations demonstrate that the DOA estimation of coherent signals in a color-noise background is less complex and maintains a higher accuracy than conventional algorithms.\",\"PeriodicalId\":259102,\"journal\":{\"name\":\"Optical Technology, Semiconductor Materials, and Devices\",\"volume\":\"12589 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Technology, Semiconductor Materials, and Devices\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2668628\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Technology, Semiconductor Materials, and Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2668628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a low-complexity DOA estimation method based on fourth-order cumulants
To address the problem that the conventional algorithm has a very high complexity in estimating the Direction of Arrival (DOA) of coherent sources in the background of color noise, this paper proposes a low-complexity DOA estimation method based on the fourth order cumulant and Toeplitz matrix reconstruction. Firstly, a Fourth Order Cumulant (FOC) matrix is constructed from the received signal vector to suppress the noise component, and the redundant information in the FOC matrix is removed by storing the matrix to obtain the reduced dimensional FOC matrix. Afterwards, the Toeplitz matrix is reconstructed to extend the array aperture and to achieve decoherence. Finally, the DOA estimation of the reconstructed matrix is performed using the MUSIC algorithm. Simulations demonstrate that the DOA estimation of coherent signals in a color-noise background is less complex and maintains a higher accuracy than conventional algorithms.