Results 101 to 110 of about 6,360,179 (406)

Gridless sparsity-based DOA estimation for sparse linear array

open access: yesThe Journal of Engineering, 2019
A novel two-stage gridless sparsity-based method for sparse linear array direction-of-arrival (DOA) estimation is presented. First, the covariance matrix gridless sparse representation method based on atomic norm minimisation is proposed for ...
Yu Zhang   +3 more
doaj   +1 more source

OFDM Synthetic Aperture Radar Imaging with Sufficient Cyclic Prefix [PDF]

open access: yes, 2014
The existing linear frequency modulated (LFM) (or step frequency) and random noise synthetic aperture radar (SAR) systems may correspond to the frequency hopping (FH) and direct sequence (DS) spread spectrum systems in the past second and third ...
Xia, Xiang-Gen, Zhang, Tian-Xian
core   +1 more source

Ka-band microwave photonic ultra-wideband imaging radar for capturing quantitative target information.

open access: yesOptics Express, 2018
Extracting precise target characteristics from microwave image is needed and calls for high-resolution microwave imaging radar systems. In this paper, a Ka-band ultra-wideband microwave photonic (MWP) imaging radar is developed and experimentally ...
Anle Wang   +11 more
semanticscholar   +1 more source

CMOS‐Compatible Short‐Wave Infrared Linear Arrays of Ge‐on‐Si Avalanche Photodiodes

open access: yesAdvanced Photonics Research, EarlyView.
The fabrication and characterization of a new type of surface‐illuminated Si‐based avalanche photodiode array operating in the short‐wave infrared region using germanium as the absorber and silicon as the multiplier is reported. The demonstration of an avalanche gain of 24 at a temperature of 378 K allows the devices to operate in outdoor environments.
Mrudul Modak   +15 more
wiley   +1 more source

A Fast Approach to Texture-Less Object Detection Based on Orientation Compressing Map and Discriminative Regional Weight

open access: yesAlgorithms, 2018
This paper presents a fast algorithm for texture-less object recognition, which is designed to be robust to cluttered backgrounds and small transformations.
Hancheng Yu, Haibao Qin, Maoting Peng
doaj   +1 more source

Chip-based photonic radar for high-resolution imaging

open access: yes, 2019
Radar is the only sensor that can realize target imaging at all time and all weather, which would be a key technical enabler for future intelligent society.
Cong, Rong   +8 more
core  

3-D Microwave Imaging for Breast Cancer [PDF]

open access: yes, 2012
We introduce a novel microwave imaging technique for breast cancer detection. Our approach provides a one-pass inverse image solution, which is completely new and unprecedented, unrelated to tomography or radar-based algorithms, and unburdened by the ...
Cheng, G. G., Grzesik, J., Zhu, Y.
core   +2 more sources

Generalized radar/radiometry imaging problems

open access: yes13th International Conference on Microwaves, Radar and Wireless Communications. MIKON - 2000. Conference Proceedings (IEEE Cat. No.00EX428), 2001
In the paper the results of spatio-temporal imaging simulation based on radar, synthetic aperture radar (SAR) and radiometry systems are presented. The analytical relationship between object scattering/emitting and the formed image is given and the general approach for the description of imaging system by means of Frendholm equation solution is ...
Prudyus, I.   +4 more
openaire   +4 more sources

Optical Chaos Generation and Applications

open access: yesAdvanced Photonics Research, EarlyView.
This review comprehensively examines optical chaos generation via feedback, injection, and optoelectronic methods, emphasizing bandwidth enhancement and time‐delay suppression. Applications include chaos‐synchronized secure communication, physical random number generation, chaotic lidar for cm‐level detection, distributed fiber sensing, and terahertz ...
Wenhui Chen   +8 more
wiley   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

open access: yesAdvanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas   +2 more
wiley   +1 more source

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