18 results on '"Shapiro, Jeffrey H."'
Search Results
2. Maximum-likelihood multiresolution laser radar range imaging
- Author
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Greer, Donald R., Fung, Irene, and Shapiro, Jeffrey H.
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Maximum likelihood estimates (Statistics) -- Usage ,Image processing -- Research ,Optical radar -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
Maximum-likelihood multiresolution range image processing is effective for pulsed-imager operation of a coherent laser radar. The adaptation of expectation-maximization algorithm to a multiresolution Haar-wavelet basis yields a numerically robust and computationally efficient procedure. The weights related to the expectation-maximization iterations are dependable indicators for termination of coarse-to-fine resolution progression. The method can be useful for model-based object recognition. The properties and performance results of the estimation algorithm are presented.
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- 1997
3. Performance of Split-Window Multipass-Mean Noise Spectral Estimators
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SHAPIRO, JEFFREY H. and GREEN, THOMAS J. JR.
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Spectrum analysis -- Research ,Noise -- Measurement ,Gaussian distribution -- Models ,Aerospace and defense industries ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
Spectrogram background normalization for narrowband passive acoustic detection systems has a long history, and the split-window three-pass mean noise spectral estimator (S3PM NSE) is currently a standard in this regard. As yet, however, there is no analytical design methodology for choosing the window parameters and shearing thresholds for the S3PM NSE. That deficiency is remedied here by deriving an approximation for the bias of the S3PM NSE when its input is colored Gaussian noise.
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- 2000
4. Photon-efficient imaging with a single-photon camera
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Dheera Venkatraman, Jeffrey H. Shapiro, Vivek K Goyal, Federica Villa, Feihu Xu, Franco N. C. Wong, Franco Zappa, Rudi Lussana, Dongeek Shin, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Xu, Feihu, Wong, Ngai Chuen, and Shapiro, Jeffrey H
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Genetics and Molecular Biology (all) ,Photon ,Applied physics ,Science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,General Physics and Astronomy ,02 engineering and technology ,Biochemistry ,01 natural sciences ,Signal ,General Biochemistry, Genetics and Molecular Biology ,Article ,010309 optics ,Physics and Astronomy (all) ,Optics ,Camera auto-calibration ,0103 physical sciences ,ComputingMethodologies_COMPUTERGRAPHICS ,Physics ,Multidisciplinary ,sezele ,Pixel ,business.industry ,Chemistry (all) ,Optical physics ,General Chemistry ,021001 nanoscience & nanotechnology ,Transverse plane ,Biochemistry, Genetics and Molecular Biology (all) ,Computer Science::Computer Vision and Pattern Recognition ,0210 nano-technology ,Biological imaging ,business - Abstract
Reconstructing a scene’s 3D structure and reflectivity accurately with an active imaging system operating in low-light-level conditions has wide-ranging applications, spanning biological imaging to remote sensing. Here we propose and experimentally demonstrate a depth and reflectivity imaging system with a single-photon camera that generates high-quality images from ∼1 detected signal photon per pixel. Previous achievements of similar photon efficiency have been with conventional raster-scanning data collection using single-pixel photon counters capable of ∼10-ps time tagging. In contrast, our camera’s detector array requires highly parallelized time-to-digital conversions with photon time-tagging accuracy limited to ∼ns. Thus, we develop an array-specific algorithm that converts coarsely time-binned photon detections to highly accurate scene depth and reflectivity by exploiting both the transverse smoothness and longitudinal sparsity of natural scenes. By overcoming the coarse time resolution of the array, our framework uniquely achieves high photon efficiency in a relatively short acquisition time., National Science Foundation (U.S.) (1161413), National Science Foundation (U.S.) (1422034), Lincoln Laboratory, Samsung (Firm)
- Published
- 2015
5. Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors
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Jeffrey H. Shapiro, Ahmed Kirmani, Vivek K Goyal, Dongeek Shin, Shin, Dongeek, Goyal, Vivek K, and Shapiro, Jeffrey H
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FOS: Computer and information sciences ,Image formation ,Photon ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,Statistics - Applications ,01 natural sciences ,010309 optics ,Optics ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Median filter ,Applications (stat.AP) ,ComputingMethodologies_COMPUTERGRAPHICS ,Physics ,Pixel ,business.industry ,Noise (signal processing) ,Detector ,Shot noise ,3. Good health ,Computer Science Applications ,Computational Mathematics ,Dwell time ,Computer Science::Computer Vision and Pattern Recognition ,Signal Processing ,020201 artificial intelligence & image processing ,business - Abstract
Capturing depth and reflectivity images at low light levels from active illumination of a scene has wide-ranging applications. Conventionally, even with single-photon detectors, hundreds of photon detections are needed at each pixel to mitigate Poisson noise. We develop a robust method for estimating depth and reflectivity using on the order of 1 detected photon per pixel averaged over the scene. Our computational imager combines physically accurate single-photon counting statistics with exploitation of the spatial correlations present in real-world reflectivity and 3D structure. Experiments conducted in the presence of strong background light demonstrate that our computational imager is able to accurately recover scene depth and reflectivity, while traditional maximum-likelihood based imaging methods lead to estimates that are highly noisy. Our framework increases photon efficiency 100-fold over traditional processing and also improves, somewhat, upon first-photon imaging under a total acquisition time constraint in raster-scanned operation. Thus our new imager will be useful for rapid, low-power, and noise-tolerant active optical imaging, and its fixed dwell time will facilitate parallelization through use of a detector array., Comment: 11 pages, 8 figures
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- 2015
6. Classical Imaging with Undetected Photons
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Dheera Venkatraman, Franco N. C. Wong, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Shapiro, Jeffrey H., Venkatraman, Dheera, and Wong, Franco N. C.
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Heterodyne ,Photon ,Computer science ,Phase (waves) ,02 engineering and technology ,Quantum imaging ,Ghost imaging ,01 natural sciences ,Signal ,Article ,Detective quantum efficiency ,010309 optics ,020210 optoelectronics & photonics ,Optical imaging ,Optics ,Optical coherence tomography ,Quantum mechanics ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Quantum system ,010306 general physics ,Quantum ,Parametric statistics ,Physics ,Multidisciplinary ,medicine.diagnostic_test ,Cross-correlation ,business.industry ,Coherent states ,business ,Telecommunications - Abstract
Barreto Lemos et al. [Nature 512, 409–412 (2014)] reported an experiment in which a non-degenerate parametric downconverter and a non-degenerate optical parametric amplifier—used as a wavelength-converting phase conjugator—were employed to image object transparencies in a manner akin to ghost imaging. Their experiment, however, relied on single-photon detection, rather than the photon-coincidence measurements employed in ghost imaging with a parametric downconverter source. More importantly, their system formed images despite the photons that passed through the object never being detected. Barreto Lemos et al. interpreted their experiment as a quantum imager, as assuredly it is, owing to its downconverter’s emitting entangled signal and idler beams. We show, however, that virtually all the features of their setup can be realized in a quantum-mimetic fashion using classical-state light, specifically a pair of bright pseudothermal beams possessing a phase-sensitive cross correlation. Owing to its much higher signal-to-noise ratio, our bright-source classical imager could greatly reduce image-acquisition time compared to that of Barreto Lemos et al.‘s quantum system, while retaining the latter’s ability to image with undetected photons., National Science Foundation (U.S.) (Grant 1161413)
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- 2015
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7. Computational 3D and reflectivity imaging with high photon efficiency
- Author
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Vivek K Goyal, Dongeek Shin, Ahmed Kirmani, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Shin, Dongeek, Kirmani, Ahmed, and Shapiro, Jeffrey H.
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Physics ,Photon ,Pixel ,business.industry ,Detector ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Shot noise ,Active illumination ,Reflectivity ,Time of flight ,Optics ,Computer Science::Computer Vision and Pattern Recognition ,Convex optimization ,Computer vision ,Artificial intelligence ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
Capturing depth and reflectivity images at low light levels from active illumination of a scene has wide-ranging applications. Conventionally, even with single-photon detectors, hundreds of photon detections are needed at each pixel to mitigate Poisson noise. We introduce a robust method for estimating depth and reflectivity using on the order of 1 detected photon per pixel averaged over the scene. Our computational imager combines physically accurate single-photon counting statistics with exploitation of the spatial correlations present in real-world reflectivity and 3D structure. Experiments conducted in the presence of strong background light demonstrate that our computational imager is able to accurately recover scene depth and reflectivity, while traditional maximum likelihood-based imaging methods lead to estimates that are highly noisy. Our framework increases photon efficiency 100-fold over traditional processing and thus will be useful for rapid, low-power, and noise-tolerant active optical imaging., National Science Foundation (U.S.) (Grant 1161413), Samsung (Firm) (Fellowship), Microsoft Research (PhD Fellowship)
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- 2014
- Full Text
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8. Experiment Turbulence Compensation of 50-Gbaud/s Orbital-Angular-Momentum QPSK Signals using Intensity-only based SPGD Algorithm
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Moshe Tur, Yinwen Cao, Moshe J. Willner, Zhe Zhao, A.E. Willner, Robert Boyd, Nisar Ahmed, Jeffrey H. Shapiro, Changjing Bao, Yan Yan, Yongxiong Ren, Martin P. J. Lavery, Hao Huang, Miles J. Padgett, Guodong Xie, Samuel J. Dolinar, Long Li, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, and Shapiro, Jeffrey H.
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Physics ,Angular momentum ,Signal processing ,business.industry ,Turbulence ,Atmospheric correction ,Physics::Optics ,Multiplexing ,Optics ,Physics::Space Physics ,Light beam ,business ,Algorithm ,Beam (structure) ,Phase-shift keying ,Computer Science::Information Theory - Abstract
An intensity-only based algorithm is employed to compensate the turbulence effects on 50-Gbaud/s orbital angular momentum QPSK channels. By only measuring the intensity profile, the purity of the OAM beams is improved and crosstalk among channels is decreased., United States. Defense Advanced Research Projects Agency. Information in a Photon (InPho) Program, Intel Corporation
- Published
- 2014
9. Ultimate Limits on Photon and Spectral Efficient Communication through Atmospheric Turbulence
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Ligong Wang, Nivedita Chandrasekaran, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Shapiro, Jeffrey H., Chandrasekaran, Nivedita, and Wang, Ligong
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Physics ,Photon ,Optics ,Turbulence ,business.industry ,Optical communication ,Maximum power transfer theorem ,Fresnel number ,Ergodic theory ,Adaptive optics ,business ,Free-space optical communication ,Computational physics - Abstract
Bounds on the ergodic classical and private capacities for optical communication through turbulence are presented, showing that high photon and spectral efficiencies can be achieved simultaneously in the near-field power transfer regime., National Science Foundation (U.S.) (NSF IGERT program), United States. Defense Advanced Research Projects Agency (DARPA Information in a Photon Program), United States. Office of Naval Research (Basic Research Challenge Program)
- Published
- 2013
10. Secure communication via quantum illumination
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Franco N. C. Wong, Zheshen Zhang, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Shapiro, Jeffrey H., Zhang, Zheshen, and Wong, Franco N. C.
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Physics ,Decodes ,biology ,business.industry ,Electrical engineering ,Statistical and Nonlinear Physics ,Eavesdropping ,Quantum entanglement ,biology.organism_classification ,Theoretical Computer Science ,Electronic, Optical and Magnetic Materials ,Signal beam ,Alice and Bob ,Secure communication ,Modeling and Simulation ,Signal Processing ,Quantum illumination ,Electrical and Electronic Engineering ,business ,Quantum computer - Abstract
In the quantum illumination protocol for secure communication, Alice prepares entangled signal and idler beams via spontaneous parametric downconversion. She sends the signal beam to Bob, while retaining the idler. Bob imposes message modulation on the beam he receives from Alice, amplifies it, and sends it back to her. Alice then decodes Bob's information by making a joint quantum measurement on the light she has retained and the light she has received from him. The basic performance analysis for this protocol--which demonstrates its immunity to passive eavesdropping, in which Eve can only listen to Alice and Bob's transmissions--is reviewed, along with the results of its first proof-of-principle experiment. Further analysis is then presented, showing that secure data rates in excess of 1 Gbps may be possible over 20-km-long fiber links with technology that is available or under development. Finally, an initial scheme for thwarting active eavesdropping, in which Eve injects her own light into Bob's terminal, is proposed and analyzed.
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- 2013
11. Improved Target-Detection Signal-to-Noise Ratio Via Quantum Illumination
- Author
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Franco N. C. Wong, Sara Mouradian, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Shapiro, Jeffrey H., Mouradian, Sara L., and Wong, Franco N. C.
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Physics ,Noise measurement ,business.industry ,Quantum noise ,Shot noise ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Noise (electronics) ,Noise floor ,Optics ,Signal-to-noise ratio ,Köhler illumination ,Quantum illumination ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
We report the first experimental demonstration of quantum illumination's signal-to-noise ratio advantage over classical (laser-light) illumination for target detection in a lossy, noisy scenario.
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- 2013
12. Ghost Imaging without Discord
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Jeffrey H. Shapiro, Franco N. C. Wong, Dheera Venkatraman, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Shapiro, Jeffrey H., Venkatraman, Dheera, and Wong, Franco N. C.
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High Energy Physics::Lattice ,Ghost imaging ,Quantum imaging ,Article ,law.invention ,High Energy Physics::Theory ,Optics ,law ,Image Interpretation, Computer-Assisted ,Scattering, Radiation ,Computer Simulation ,Lighting ,Laser light ,Pseudorandom number generator ,Physics ,Quantum discord ,Multidisciplinary ,Spatial light modulator ,business.industry ,Lasers ,Image Enhancement ,Laser ,Structured illumination ,Quantitative Biology::Genomics ,Quantum Theory ,Thermodynamics ,business ,Algorithms - Abstract
Ragy and Adesso argue that quantum discord is involved in the formation of a pseudothermal ghost image. We show that quantum discord plays no role in spatial light modulator ghost imaging, i.e., ghost-image formation based on structured illumination realized with laser light that has undergone spatial light modulation by the output from a pseudorandom number generator. Our analysis thus casts doubt on the degree to which quantum discord is necessary for ghost imaging., United States. Defense Advanced Research Projects Agency (Army Research Office Award W911NF-10-1-0404)
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- 2013
13. Laser Radar Point-Target Localization at High Photon Efficiency
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Jeffrey H. Shapiro, James Schneeloch, Gregory A. Howland, John C. Howell, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, and Shapiro, Jeffrey H.
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Continuous-wave radar ,Physics ,Speckle pattern ,Optics ,Lidar ,Radar engineering details ,business.industry ,Pulse-Doppler radar ,Radar imaging ,Speckle noise ,business ,Point target - Abstract
Minimum error-probability laser radar point-target localization is analyzed, including the effects of dark counts, background counts, and target speckle. Results from preliminary table-top experiments are reported.
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- 2013
- Full Text
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14. Normalized ghost imaging
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Matthew P. Edgar, Miles J. Padgett, Baoqing Sun, Stephen S. Welsh, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, and Shapiro, Jeffrey H.
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Quantum Physics ,Spatial light modulator ,business.industry ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,FOS: Physical sciences ,Ghost imaging ,Object (computer science) ,Atomic and Molecular Physics, and Optics ,Weighting ,High Energy Physics::Theory ,Computer vision ,Artificial intelligence ,Differential (infinitesimal) ,business ,Quantum Physics (quant-ph) ,Light field ,Physics - Optics ,Optics (physics.optics) - Abstract
We present an experimental comparison between different iterative ghost imaging algorithms. Our experimental setup utilizes a spatial light modulator for generating known random light fields to illuminate a partially-transmissive object. We adapt the weighting factor used in the traditional ghost imaging algorithm to account for changes in the efficiency of the generated light field. We show that our normalized weighting algorithm can match the performance of differential ghost imaging., Comment: 10 pages, 5 figures
- Published
- 2012
15. Quantum illumination versus coherent-state target detection
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Seth Lloyd, Jeffrey H. Shapiro, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Department of Mechanical Engineering, Massachusetts Institute of Technology. Research Laboratory of Electronics, Lloyd, Seth, and Shapiro, Jeffrey H.
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Physics ,Quantum Physics ,business.industry ,Transmitter ,General Physics and Astronomy ,FOS: Physical sciences ,Quantum entanglement ,Lossy compression ,Optics ,Coherent states ,Quantum illumination ,business ,Quantum Physics (quant-ph) ,Computer Science::Information Theory - Abstract
Entanglement is arguably the key quantum-mechanical resource for improving the performance of communication, precision measurement and computing systems beyond their classical-physics limits. Yet entanglement is fragile, being very susceptible to destruction by the decoherence arising from loss and noise. Surprisingly, Lloyd (2008 Science 321 1463) recently proved that a very large performance gain accrues from use of entanglement in single-photon target detection within an entanglement-destroying lossy, noisy environment when compared to what can be achieved with unentangled single-photon states. We extend Lloyd's analysis to the full multiphoton input Hilbert space. We show that the performance of Lloyd's single-photon'quantum illumination' system is, at best, equal to that of a coherent-state transmitter of the same average photon number, and may be substantially worse. We demonstrate that the coherent-state system derives its advantage from the coherence between a sequence of weak—single photon on average—transmissions, a possibility that was not allowed for in Lloyd's work. Nevertheless, as shown by Tan et al (2008 Phys. Rev. Lett. 101 253601), quantum illumination may offer a significant, although more modest, performance gain when operation is not limited to the single-photon regime., W. M. Keck Foundation (Center for Extreme Quantum Information Theory), United States. Defense Advanced Research Projects Agency (Quantum Sensors Program)
- Published
- 2009
16. Reciprocity-Enhanced Optical Communication Through Atmospheric Turbulence—Part II: Communication Architectures and Performance
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Andrew Puryear, Ronald R. Parenti, Jeffrey H. Shapiro, Lincoln Laboratory, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Puryear, Andrew L., Shapiro, Jeffrey H., and Parenti, Ronald R.
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Engineering ,Exploit ,Computer Networks and Communications ,business.industry ,Reciprocity (network science) ,Optical communication ,Electronic engineering ,Systems design ,Fading ,Communications system ,business ,Clear-air turbulence ,Free-space optical communication - Abstract
Free-space optical (FSO) communication provides rapidly deployable, dynamic communication links that are capable of very high data rates compared with those of radio-frequency systems. As such, FSO communication is ideal for mobile platforms, for platforms that require the additional security afforded by the narrow divergence of a laser beam, and for systems that must be deployed in a relatively short time frame. In clear-weather conditions the data rate and utility of FSO communication links are primarily limited by fading caused by microscale atmospheric temperature variations that create parts-per-million refractive-index fluctuations known as atmospheric turbulence. Typical communication techniques to overcome turbulence-induced fading, such as interleavers with sophisticated codes, lose viability as the data rate is driven higher or the delay tolerance is driven lower. This paper, along with its companion [J. Opt. Commun. Netw. 4, 947 (2012)], present communication systems and techniques that exploit atmospheric reciprocity to overcome turbulence that are viable for high data rate and low delay tolerance systems. Part I proves that reciprocity is exhibited under rather general conditions and derives the optimal power-transfer phase compensation for far-field operation. Part II presents capacity-achieving architectures that exploit reciprocity to overcome the complexity and delay issues that limit state-of-the-art FSO communications., United States. National Aeronautics and Space Administration (Air Force Contract #FA8721-05-C-0002)
- Published
- 2013
- Full Text
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17. Space-Time Codes for Wireless Optical Communications
- Author
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Vahid Tarokh, Jeffrey H. Shapiro, Shane M. Haas, Massachusetts Institute of Technology. Laboratory for Information and Decision Systems, Massachusetts Institute of Technology. Research Laboratory of Electronics, Shapiro, Jeffrey H., Haas, Shane M., and Tarokh, Vahid
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Theoretical computer science ,Optical communication ,Code word ,lcsh:TK7800-8360 ,Data_CODINGANDINFORMATIONTHEORY ,Communications system ,lcsh:Telecommunication ,orthogonal designs ,lcsh:TK5101-6720 ,Code (cryptography) ,Wireless ,Fading ,Electrical and Electronic Engineering ,Central limit theorem ,Mathematics ,optical communication ,Computer Science::Information Theory ,business.industry ,lcsh:Electronics ,space-time codes ,Hardware and Architecture ,Signal Processing ,business ,Algorithm ,Energy (signal processing) - Abstract
A space-time channel coding technique is presented for overcoming turbulence-induced fading in an atmospheric optical heterodyne communication system that uses multiple transmit and receive apertures. In particular, a design criterion for minimizing the pairwise probability of codeword error in a space-time code (STC) is developed from a central limit theorem approximation. This design criterion maximizes the mean-to-standard-deviation ratio of the received energy difference between codewords. It leads to STCs that are a subset of the previously reported STCs for Rayleigh channels, namely those created from orthogonal designs. This approach also extends to other fading channels with independent, zero-mean path gains. Consequently, for large numbers of transmit and receive antennas, STCs created from orthogonal designs minimize the pairwise codeword error probability for this larger class of fading channels., United States. Defense Advanced Research Projects Agency (Grant MDA972-00-1-0012)
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18. Simultaneous pre-and post-turbulence compensation of multiple orbital-angular-momentum 100-Gbit/s data channels in a bidirectional link using a single adaptive-optics system
- Author
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Guodong Xie, Yongxiong Ren, Moshe J. Willner, A.E. Willner, Robert W. Boyd, Martin P. J. Lavery, Changjing Bao, Mark A. Neifeld, Long Li, Moshe Tur, Nisar Ahmed, Miles J. Padgett, Samuel J. Dolinar, Jeffrey H. Shapiro, Yan Yan, Hao Huang, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, and Shapiro, Jeffrey H.
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Physics ,Signal processing ,Angular momentum ,business.industry ,Physics::Optics ,Multiplexing ,Compensation (engineering) ,Physics::Fluid Dynamics ,Optics ,Physics::Space Physics ,Light beam ,business ,Adaptive optics ,Optical vortex ,Communication channel - Abstract
The simultaneous pre-and post-turbulence compensation of multiple orbital-angular-momentum (OAM) modes propagating through turbulent channel is experimentally demonstrated in a bidirectional free-space optical (FSO) link by using a single adaptive-optics system., United States. Defense Advanced Research Projects Agency. Information in a Photon (InPho) Program, Intel Corporation
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