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The low angular resolution of scanning radar limits the application in the forward-looking imaging field. This paper proposes the mixed method of truncated singular value decomposition (TSVD) with regularization l1 norm to achieve the angular super-resolution. First, the TSVD technique is applied to suppress the noise amplification and keep the main information of targets. Then the angular super-resolution...
In this letter, an improved regularized iterative adaptive approach (IAA) is proposed for scanning radar angular superresolution. Because the IAA requires matrix inversion, the increasing condition number of the covariance matrix leads to the ill-posed problem of the IAA. Based on this reality, the diagonal loading method is introduced to solve the ill-posed problem. Because the loading value controls...
This paper deals with the problem of estimating the directions of arrival (DOAs) in airborne forward-looking radar imaging, by joint processing the sum and difference channel data. It is known that the monopulse system uses two channels, the sum and the difference, to estimate the target DOA. However, it fails to work when multiple targets are located within the beamwidth. Aiming at this problem,...
A scheme of fast standard Capon beamformer (SCB) is proposed for scanning radar angular superresolution aiming at the computation burden caused by large swath mapping in azimuth. First, using the similar block tridiagonal property between the covariance matrix and Schur complement of its submatrix, the fast matrix inverse works in an improved divide and conquer (D&C) approach by recursively breaking...
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