Compressive Reflector Antenna Phased Array

Molaei, Ali; Juesas, Juan Heredia; Lorenzo, José Á. Martínez

doi:10.5772/67663

Cited by 11 publications

(11 citation statements)

References 20 publications

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“…Presents 55 compressive horn antenna in 60 to 90 GHz, fabricated by inserting a 3D printed pseudorandom shaped dielectric material in the aperture of the pyramidal horn antenna to code the wave-field in the spatial domain, which are dynamically changed. These codes are designed so that the successive measurements have reduced the number of mutual overlapping information as compared to conventional suboptimal phased array imaging, employing many transmitting and receiving antennas 56 . TWIR antenna, employing CRA will have the potential to make imaging and sensing efficient and enable compressed sensing performed on under sampled measured data making the overall system fast.…”

Section: Facilitating Overall Simple and Efficient Imaging By Twirmentioning

confidence: 99%

Through Wall Imaging Radar Antenna with a Focus on Opening New Research Avenues

Raha

Ray

2021

Def. Sc. J.

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This review paper is an effort to develop insight into the development in antennas for through wall imaging radar application. Review on literature on antennas for use in through wall imaging radar, fulfilling one or more requirements/specifications such as ultrawide bandwidth, stable and high gain, stable unidirectional radiation pattern, wide scanning angle, compactness ensuring portability and facilitating real-time efficient and simple imaging is presented. The review covers variants of Vivaldi, Bow tie, Horn, Spiral, Patch and Magneto-electric dipole antennas demonstrated as suitable antennas for the through wall imaging radar application. With an aim to open new research avenues for making better through wall imaging radar antenna, review on relevant compressive reflector antennas, surface integrated waveguide antennas, plasma antennas, metamaterial antennas and single frequency dynamically configurable meta-surface antennas are incorporated. The review paper brings out possibilities of designing an optimum through wall imaging radar antenna and prospects of future research on the antenna to improve radiation pattern and facilitate overall simple and efficient imaging by the through wall imaging radar.

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Section: Facilitating Overall Simple and Efficient Imaging By Twirmentioning

confidence: 99%

Through Wall Imaging Radar Antenna with a Focus on Opening New Research Avenues

Raha

Ray

2021

Def. Sc. J.

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“…The performance of the sensing array with and without the cavity can be seen through its PSF, which is the field distribution that results from coherently adding up the pressure field of each transmitter (or receiver), multiplied by a phase term that produces a constructive interference at the focusing point, when the transmitter (or receiver) is excited by a unit impulse function. The described procedure is named phase-based beam focusing, and the resulting PSF for transmitters is given by the following equation [ 13 , 41 ]:

in which

is the background field due to transmitter i at location

at frequency

and

is the phase of the background field at the location of the focus point

, i.e.,

.…”

Section: Compressive Sensing Imaging and Performance Metricsmentioning

confidence: 99%

“…Metamaterials have also been used to create randomness in the sensing system for applications such as microwave imaging [ 8 , 9 , 10 ], optical imaging [ 11 , 12 ], milliliter-wave imaging [ 13 , 14 , 15 , 16 ] and acoustic multichannel separation using a single sensor [ 17 ]. The fabrication of holey cavities is generally simpler than that of metamaterials, and they do not require any alteration in the sensing array assortment in contrast to the approach adopted in [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

Ghanbarzadeh-Dagheyan

Liu

Molaei

et al. 2018

Sensors

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The use of solid cavities around electromagnetic sources has been recently reported as a mechanism to provide enhanced images at microwave frequencies. These cavities are used as measurement randomizers; and they compress the wave fields at the physical layer. As a result of this compression, the amount of information collected by the sensing array through the different excited modes inside the resonant cavity is increased when compared to that obtained by no-cavity approaches. In this work, a two-dimensional cavity, having multiple openings, is used to perform such a compression for ultrasound imaging. Moreover, compressive sensing techniques are used for sparse signal retrieval with a limited number of operating transceivers. As a proof-of-concept of this theoretical investigation, two point-like targets located in a uniform background medium are imaged in the presence and the absence of the cavity. In addition, an analysis of the sensing capacity and the shape of the point spread function is also carried out for the aforementioned cases. The cavity is designed to have the maximum sensing capacity given different materials and opening sizes. It is demonstrated that the use of a cavity, whether it is made of plastic or metal, can significantly enhance the sensing capacity and the point spread function of a focused beam. The imaging performance is also improved in terms cross-range resolution when compared to the no-cavity case.

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“…The Lincoln Laboratory in the Massachusetts Institute of Technology (MIT) proposed CRA that is an antenna generating a random phase radiation pattern varying in space and time [44,45]. The beamforming of CRA is based on the following two-dimensional coding: (a) spatial coding performed by introducing dielectric or metallic scatterers on the surface of the reflector, and (b) temporal coding through the use of temporal multiplexing of transmitting and receiving horn arrays [46]. The radiation pattern of CRA is shown in Figure 5b,d.…”

Section: Pseudo-random Space-time Modulationmentioning

confidence: 99%

Sub-Nyquist SAR Based on Pseudo-Random Time-Space Modulation

Chen

et al. 2018

Sensors

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Sub-Nyquist sampling technology can ease the conflict between high resolution and wide swath in a synthetic aperture radar (SAR) system. However, the existing sub-Nyquist SAR imposes a constraint on the type of the observed scene and can only reconstruct the scene with small sparsity (i.e., number of significant coefficients). The information channel model of microwave imaging radar based on information theory, in which scene, echo, and the mapping relation between the two correspond to information source, sink, and channel, is built, and noisy-channel coding theorem explains the reason for the aforementioned under this model. To allow the wider application of sub-Nyquist SAR, this paper proposes sub-Nyquist SAR based on pseudo-random space-time modulation. This modulation is the spatial and temporal phase modulation to the traditional SAR raw data and can increase the mutual information of information source and sink so that the scenes with large sparsity can be reconstructed. Simulations of scenes with different sparsity, e.g., an ocean with several ships and urban scenes, were run to verify the validity of our proposed method, and the results show that the scenes with large sparsity can be successfully reconstructed.

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Compressive Reflector Antenna Phased Array

Cited by 11 publications

References 20 publications

Through Wall Imaging Radar Antenna with a Focus on Opening New Research Avenues

Through Wall Imaging Radar Antenna with a Focus on Opening New Research Avenues

Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging

Sub-Nyquist SAR Based on Pseudo-Random Time-Space Modulation

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