Three-dimensional (3D) imaging of a moving target can be achieved via a wideband multiple-input multiple-output (MIMO) radar with planararray in a single snapshot. The sparse recovery (SR) method has been introduced ...
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Three-dimensional (3D) imaging of a moving target can be achieved via a wideband multiple-input multiple-output (MIMO) radar with planararray in a single snapshot. The sparse recovery (SR) method has been introduced to deal with the MIMO imaging problem with sparsearray recently. For sparse linear array, SR method can successfully achieve the high cross-range resolution. For sparse planar array, however, it is not effective to use a SR algorithm directly in 2D cross-range direction, because the final 2D imagery will be blurred by the SR-induced range cell migration (RCM) in the former cross-range direction. To remove the RCM, a joint sparsity-driven method is proposed in this study by exploiting the joint sparsity of echo signal. An improved imagery can be obtained with fewer antennas and higher calculation efficiency. Comparative experiments demonstrate the superiority of the proposed method.
This paper will give an overview of the recent advances on an innovative sparsearray synthesis technique for the design of satellite antenna arrays. The equi-power sub-arrays constituting the aperiodic array are plac...
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ISBN:
(纸本)9781424449682
This paper will give an overview of the recent advances on an innovative sparsearray synthesis technique for the design of satellite antenna arrays. The equi-power sub-arrays constituting the aperiodic array are placed on a lattice reproducing the positions of the sunflower seeds, opportunely adjusted according to a desired tapering law. This particular non-uniform lattice is selected, essentially, because it guarantees a favourable radial and azimuthal spreading of the element positions. In this way the pattern in the sidelobes and grating lobes region tends towards a plateau-like shape, avoiding the presence of high, narrow peaks. Moreover, by manipulating the element positions with the presented technique, the beamwidth can be adjusted and the sidelobe level SLL kept under an assigned value without any amplitude tapering of subarray excitations; the latter is replaced by 'space tapering', as the inter-element spacing increases from the centre to the array periphery, while all the elements are fed with the same power. This planararray can be considered in the design of a transmit direct radiating array for a communication antenna deployed on a geostationary satellite.
With regard to two dimensional Direction-of-Arrival（2-D DOA） estimation in sparsearray, this paper presents a singular value threshold based estimation of signal parameters via rotational invariance technique（SVT-...
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ISBN:
(纸本)9781510830363
With regard to two dimensional Direction-of-Arrival（2-D DOA） estimation in sparsearray, this paper presents a singular value threshold based estimation of signal parameters via rotational invariance technique（SVT-ESPRIT） algorithm. Firstly, a signal model of DOA estimation based on matrix completion is established which turns out to meet Null Space Property（NSP）. Secondly, a full signal array is recovered from a sparse signal array using fixed-point iteration algorithm. Finally, 2-D DOA estimation can be achieved from the recovered signal. The proposed algorithm can reduce the number of array elements and achieve high accuracy of 2-D DOA estimation in sparsearray. Computer simulations demonstrate the effectiveness and robustness of the proposed algorithm.
This correspondence improves and extends bounds on the numbers of sensors, redundancies, and holes for sparse linear arrays to sparseplanar and volume arrays. As an application, the efficiency of regular planar and v...
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This correspondence improves and extends bounds on the numbers of sensors, redundancies, and holes for sparse linear arrays to sparseplanar and volume arrays. As an application, the efficiency of regular planar and volume arrays with redundancies but no holes is deduced. Also, examples of new redundancy and hole square arrays, found by exhaustive computer search, are given.
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