【摘要】：針對(duì)寬頻段欠定波達(dá)方向(DOA)估計(jì)問題,提出基于二級(jí)嵌套陣列的DOA估計(jì)方法.利用空間頻率對(duì)陣列接收數(shù)據(jù)進(jìn)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(duì)偶方法以及多項(xiàng)式求根得到空間頻率的高分辨估計(jì);構(gòu)建頻域協(xié)方差矩陣并進(jìn)行特征分解,利用大特征矢量之和來建立配對(duì)函數(shù)實(shí)現(xiàn)信號(hào)頻率與空間頻率準(zhǔn)確配對(duì)得到DOA估計(jì).結(jié)果表明,該方法可估計(jì)的信號(hào)數(shù)遠(yuǎn)大于實(shí)際陣元數(shù),同時(shí)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(dǎo)致的模型不匹配對(duì)估計(jì)性能的影響,提高了估計(jì)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(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61171170) 安徽省自然科學(xué)基金資助項(xiàng)目(1408085QF115)
【分類號(hào)】：TN911.23

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本文編號(hào)：2375477