On Sparse MIMO Planar Array Topology Optimization for UWB Near-Field High-Resolution Imaging

Tan, Kui‐Thong; Wu, Shiyou; Wang, Youcheng; Ye, Shengbo; Chen, Jie; Liu, Xiaojun; Fang, Guangyou; Yan, Shefeng

doi:10.1109/tap.2016.2632626

Cited by 32 publications

(10 citation statements)

References 11 publications

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“…In regards of the antenna spacing associated with the undersampled array, we note that the final imaging result of MIMO is equivalent to the multiplication of the result of the transmit array by that of the receive array. Thus, the interelement spacing of the undersampled array does not need to satisfy (26), as long as we process the data using the method mentioned in Sec. III.…”

Section: Sampling Criteriamentioning

confidence: 99%

Efficient Near-Field Imaging Using Cylindrical MIMO Arrays

Wang

Amin

et al. 2021

Preprint

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Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection. A near-field imaging algorithm based on wavenumber domain processing is proposed for a cylindrical MIMO array scheme with uniformly spaced transmit and receive antennas over both the vertical and horizontal-arc directions. The spectrum aliasing associated with the proposed MIMO array is analyzed through a zerofilling discrete-time Fourier transform. The analysis shows that an undersampled array can be used in recovering the MMW image by a wavenumber domain algorithm. The requirements for the antenna inter-element spacing of the MIMO array are delineated. Numerical simulations as well as comparisons with the backprojection (BP) algorithm are provided to demonstrate the effectiveness of the proposed method.

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Section: Sampling Criteriamentioning

confidence: 99%

Efficient Near-Field Imaging Using Cylindrical MIMO Arrays

Wang

Amin

et al. 2021

Preprint

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“…Among them, in [14], a combinatorial method to design a minimum redundancy MIMO radar with a virtual array characterized by a very large aperture for both 1-Dand 2-D-cases is proposed. In [15], two planar sparse MIMO arrays are designed using two criteria, namely the uniform distribution of the array elements and the minimization of the shadowing between virtual elements, where the latter criterion is already introduced in [16]. The simulated radiation patterns at boresight and when focused at an azimuth angle of 45 • while the elevation angle is 0 • are employed to evaluate the performance of the arrays.…”

Section: Introductionmentioning

confidence: 99%

2-D MIMO Radar: A Method for Array Performance Assessment and Design of a Planar Antenna Array

Serio¹,

Hügler²,

Roos³

et al. 2020

IEEE Trans. Antennas Propagat.

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In this article, a method for the assessment of the performance and for the design of a 2-D-array for multiple input multiple output (2-D-MIMO) radar applications is presented. The proposed approach is based on the analysis of the ambiguity function associated with the array. Such analysis leads to the definition of an area in the 2-D-angular field-of-view of the radar, denoted as ambiguity-free region, characterized by a low probability to obtain ambiguities in direction of arrival estimation. Simulations of a basic 2-D-MIMO array are used to explain the proposed method, which is then employed as the main criterion for the optimization of a 2-D-MIMO sparse array composed of four transmitters and eight receivers. The optimization is performed through a genetic algorithm. The resulted element positions guarantee an ambiguity-free region span in the azimuth and elevation angles greater than 120 • and angular resolutions of 8 • and 5.9 • on the azimuth and elevation angles, respectively. The optimized positions are then used to realize a 2-D-MIMO sparse array that is integrated in a radar system operating at a center frequency of 76.5 GHz. Such an array is calibrated, and comparisons between the simulated and measured ambiguity functions show the effectiveness of the proposed method.

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“…By utilizing the efficiency of fast Fourier transform (FFT), these algorithms can reduce the imaging time significantly. In [19], [20], the design of MIMO array topology was studied. As can be seen from these works, for the optimized array topologies, the intervals between array elements are usually unevenly distributed.…”

Section: Introductionmentioning

confidence: 99%

Near-Field 3D SAR Imaging Using a Scanning Linear MIMO Array With Arbitrary Topologies

et al. 2020

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For near-field synthetic aperture radar (SAR) imaging, frequency domain imaging algorithms typically require the array elements to be uniformly arranged to facilitate the application of fast Fourier transform (FFT) operations; this greatly restricts the array types that can be used for practical applications. For arrays with non-uniformly positioned antennas, no general and efficient imaging algorithm is available yet. To address this issue, an effective algorithm for efficient three-dimensional (3D) SAR imaging with arbitrary linear multi-input-multi-output (MIMO) array topologies is proposed. Specifically, non-uniform FFT (NUFFT) technology is utilized to tackle the non-uniform sampling issues in both the spatial and the wavenumber domain. Despite the intuitive idea, to achieve satisfied imaging, some issues are non-trivial and should be carefully addressed. Both simulations and experiments show the superiority of the proposed algorithm on computational complexity while maintain the same high imaging precision compared with the back-projection algorithm (BPA). Moreover, we suggest that the concept of NUFFT-based imaging can also be generalized to other imaging regimes with arbitrary array configurations. INDEX TERMS Radar imaging, multi-input-multi-output, synthetic aperture, array topology, millimeterwave imaging.

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On Sparse MIMO Planar Array Topology Optimization for UWB Near-Field High-Resolution Imaging

Cited by 32 publications

References 11 publications

Efficient Near-Field Imaging Using Cylindrical MIMO Arrays

Efficient Near-Field Imaging Using Cylindrical MIMO Arrays

2-D MIMO Radar: A Method for Array Performance Assessment and Design of a Planar Antenna Array

Near-Field 3D SAR Imaging Using a Scanning Linear MIMO Array With Arbitrary Topologies

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