Large Metasurface Aperture for Millimeter Wave Computational Imaging at the Human-Scale

Gollub, Jonah N.; Yurduseven, Okan; Trofatter, Kenneth P.; Arnitz, Daniel; Imani, Mohammadreza F.; Sleasman, Timothy; Boyarsky, Michael; Rose, Alec; Pedross-Engel, Andreas; Odabasi, Hayrettin; Zvolensky, Tomas; Lipworth, Guy; Brady, David J.; Marks, Daniel L.; Reynolds, Matthew S.; Smith, David R.

doi:10.1038/srep42650

Cited by 212 publications

(140 citation statements)

References 52 publications

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“…The potential for efficient, cost-effective, and high-resolution systems that can achieve fast acquisition rates have recently been demonstrated in computational imaging systems based on cavity-backed [22][23][24] and metasurface [25][26][27][28][29][30] apertures. These systems radiate pseudoorthogonal field distributions in transmission and-by exploitation of the reciprocity principle-in reception, to multiplex information and reconstruct an image.…”

Section: Introductionmentioning

confidence: 99%

Computational polarimetric microwave imaging

Fromentèze¹,

Yurduseven²,

Boyarsky³

et al. 2017

Opt. Express

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Abstract:We propose a polarimetric microwave imaging technique that exploits recent advances in computational imaging. We utilize a frequency-diverse cavity-backed metasurface, allowing us to demonstrate high-resolution polarimetric imaging using a single transceiver and frequency sweep over the operational microwave bandwidth. The frequency-diverse metasurface imager greatly simplifies the system architecture compared with active arrays and other conventional microwave imaging approaches. We further develop the theoretical framework for computational polarimetric imaging and validate the approach experimentally using a multi-modal leaky cavity. The scalar approximation for the interaction between the radiated waves and the targetoften applied in microwave computational imaging schemes-is thus extended to retrieve the susceptibility tensors, and hence providing additional information about the targets. Computational polarimetry has relevance for existing systems in the field that extract polarimetric imagery, and particular for ground observation. A growing number of short-range microwave imaging applications can also notably benefit from computational polarimetry, particularly for imaging objects that are difficult to reconstruct when assuming scalar estimations.

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Section: Introductionmentioning

confidence: 99%

Computational polarimetric microwave imaging

Fromentèze¹,

Yurduseven²,

Boyarsky³

et al. 2017

Opt. Express

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“…The reflections off the irregular cavity walls interfere and give rise to a speckle-like wave field [35], very much like scattering events in multiply scattering optical media such as thin paint layers or biological tissue [21,36]. Furthermore, complex microwave cavities are leveraged in fundamental research on quantum chaos [37] as well as in applications ranging from security screening [38,39] and biomedical imaging [40], via sensing [41,42] and wireless power transfer [43][44][45][46] to electromagnetic compatibility tests [47].…”

Section: Demonstration With Indoor Wireless Communication Signalsmentioning

confidence: 99%

Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals

Hougne

Lerosey

2018

Phys. Rev. X

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In sight of fundamental thermal limits on further substantial performance improvements of modern digital computational processing units, wave-based analog computation is becoming an enticing alternative. A wave, as it propagates through a carefully tailored medium, performs the desired computational operation. Yet, the necessary designs are so intricate that experimental demonstrations will necessitate further technological advances. Here, we show that, counterintuitively, the carefully tailored medium can be replaced with a random medium, subject to an appropriate shaping of the incident wave front. Using tunable metasurface reflect-arrays, we demonstrate our concept experimentally in a chaotic microwave cavity. We conclude that off-the-shelf wireless communication infrastructure in combination with a simple reflect-array suffices to perform analog computation with Wi-Fi waves reverberating in a room. DOI:

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“…Synchronization among radios is the key requirement for distributed beamforming, MIMO, localization and imaging, since carrier frequency offset/drift, and sample timing offset introduce non-coherence and severely degrades performance. Synchronization schemes in most recent prototype studies [2,3,5,8] mostly rely on dedicated cables, e.g., copper and optical fiber, or GPS clocks. The over-the-wire reference signals, e.g., 10 MHz and pulse-per-second (PPS) signals, greatly simplify the synchronization, but they are not suitable for mobile systems.…”

Section: Introductionmentioning

confidence: 99%

Software Defined Radio Implementation of Carrier and Timing Synchronization for Distributed Arrays

Han

Hanna

Balke

et al. 2019

2019 IEEE Aerospace Conference

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The communication range of wireless networks can be greatly improved by using distributed beamforming from a set of independent radio nodes. One of the key challenges in establishing a beamformed communication link from separate radios is achieving carrier frequency and sample timing synchronization. This paper describes an implementation that addresses both carrier frequency and sample timing synchronization simultaneously using RF signaling between designated master and slave nodes. By using a pilot signal transmitted by the master node, each slave estimates and tracks the frequency and timing offset and digitally compensates for them. A realtime implementation of the proposed system was developed in GNU Radio and tested with Ettus USRP N210 software defined radios. The measurements show that the distributed array can reach a residual frequency error of 5 Hz and a residual timing offset of 1/16 the sample duration for 70 percent of the time. This performance enables distributed beamforming for range extension applications.

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Large Metasurface Aperture for Millimeter Wave Computational Imaging at the Human-Scale

Cited by 212 publications

References 52 publications

Computational polarimetric microwave imaging

Computational polarimetric microwave imaging

Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals

Software Defined Radio Implementation of Carrier and Timing Synchronization for Distributed Arrays

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