【摘要】：針對寬頻段欠定波達方向(DOA)估計問題,提出基于二級嵌套陣列的DOA估計方法.利用空間頻率對陣列接收數(shù)據(jù)進行降維處理;利用空間頻率的空域稀疏性建立空間頻率連續(xù)稀疏模型,利用原始對偶方法以及多項式求根得到空間頻率的高分辨估計;構(gòu)建頻域協(xié)方差矩陣并進行特征分解,利用大特征矢量之和來建立配對函數(shù)實現(xiàn)信號頻率與空間頻率準確配對得到DOA估計.結(jié)果表明,該方法可估計的信號數(shù)遠大于實際陣元數(shù),同時能夠有效避免傳統(tǒng)稀疏重構(gòu)方法中由于角度域離散化所導致的模型不匹配對估計性能的影響,提高了估計精度與分辨力.
[Abstract]:To solve the problem of (DOA) estimation of underdetermined direction of arrival (DOA) in broadband band, a DOA estimation method based on two-stage nested array is proposed. The spatial frequency is used to reduce the dimension of the array received data, the spatial frequency continuous sparse model is established by using the spatial sparsity of spatial frequency, and the high-resolution estimation of spatial frequency is obtained by using the original duality method and polynomial rooting. The covariance matrix in frequency domain is constructed and the eigenvalue is decomposed, and the pairing function is established by using the sum of large feature vectors to realize the accurate pairing of signal frequency and spatial frequency to obtain DOA estimation. The results show that the number of signals estimated by this method is much larger than the actual number of elements, and the influence of the model mismatch caused by the discretization of angle domain on the estimation performance can be effectively avoided in the traditional sparse reconstruction method. The estimation accuracy and resolution are improved.
【作者單位】： 解放軍電子工程學院;
【基金】：國家自然科學基金資助項目(61171170) 安徽省自然科學基金資助項目(1408085QF115)
【分類號】：TN911.23

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