A5100451320- Optical Wireless Communication Technologies
- Coal Properties and Utilization
- Machine Learning and ELM
- Advanced Memory and Neural Computing
- Neural Networks and Reservoir Computing
- Satellite Communication Systems
- Optical Systems and Laser Technology
- Rock Mechanics and Modeling
- Methane Hydrates and Related Phenomena
- Photonic and Optical Devices
- Advanced Wireless Communication Technologies
- Ocular and Laser Science Research
- Geophysical Methods and Applications
- Smart Parking Systems Research
- Optical Polarization and Ellipsometry
- Electromagnetic Compatibility and Noise Suppression
- Advanced Photonic Communication Systems
- Indoor and Outdoor Localization Technologies
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Measurement and Detection Methods
- Ferroelectric and Negative Capacitance Devices
- Satellite Image Processing and Photogrammetry
- Brain Tumor Detection and Classification
- Radio Wave Propagation Studies
- Power Line Communications and Noise
China University of Mining and Technology
2013-2023
Shanghai Institute of Optics and Fine Mechanics
2011-2013
In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that VLC channel model is function of receiver's location, propose estimates state information (CSI) based on without transmitting pilot sequences. Second, derive Cramer-Rao lower bound (CRLB) error variance achievable rate on-off keying modulation. Third, derived performance metrics, optimize power allocation to minimize CRLB, while...
In this article, we consider a practical indoor 3-D mobile online visible light positioning (VLP) system, where the orientation of user equipment (UE) is arbitrary. Based on received signal strength (RSS) multiple photodetectors (PDs), formulate VLP problem as nonlinear least squares (NLSs) optimization problem, and then propose sequential quadratic programming (SQP) algorithm to efficiently calculate UE's location. To obtain more accurate solutions, further leverage advantages deep learning...
Deep neural networks (DNNs) have made breakthroughs in various fields including image recognition and language processing. DNNs execute hundreds of millions multiply-and-accumulate (MAC) operations. To efficiently accelerate such computations, analog in-memory-computing platforms emerged leveraging emerging devices as resistive RAM (RRAM). However, accelerators face the hurdle being required to sufficient on-chip crossbars hold all weights a DNN. Otherwise, RRAM cells need be reprogramed...
General-purpose optical accelerators (GOAs) have emerged as a promising platform to accelerate deep neural networks (DNNs) due their low latency and energy consumption. Such an accelerator is usually composed of given number interleaving Mach-Zehnder- Interferometers (MZIs). This architecture, however, has efficiency when accelerating various sizes the mismatch between weight matrices GOA architecture. In this work, hybrid architecture proposed enhance mapping onto GOA. independent MZI...
Abstract. Satellites in orbit are affected by changes thermal environment and other factors, the angle of optical axis between camera star tracker (Cam-ST) changes. As a result, attitude measurement error orbital period appears, leading to decrease accuracy geometric positioning image. This paper proposes observation mode, using stars as control point, so detect change Cam-ST throughout period. is based on 20 sets data from Jilin-1 video satellite. Through methods such point extraction...
In this paper, we propose new inner and outer bounds of the capacity region for multiple access channels in visible light communication (VLC) networks under both peak average optical power constraints. Specifically, proposed are established by employing single-user achieving input distribution each user. The derived determining capacities user calculating a sum upper bound relaxing Numerical results show that extremely tight outperform existing over wide ranges SNRs.
In order to study the influence of time-varying turbulence facular orientation precision when facula is moving during pointing and tracking process, a random phase screen generated using modified inverse fourier transform simulate atmospheric turbulence. And then deviation barycenter, relation between position in detector analyzed under different intensity. The results indicate that at presence turbulence, there actual translational amount barycenter detected by charge-coupled device it...
Phase-space optics has its advantage over the research of laser beam propagating through atmospheric turbulence channel due to special joint space-spatial frequency representation, which can be used describe property optical signals between variables that form a Fourier transform pair. In this paper, we introduce effect in terms matrix into phase-space analysis propagation turbulence. The far field intensity will given representation and distribution received plotted. It may new method...
Having the potential for high speed, throughput, and low energy cost, optical neural networks (ONNs) have emerged as a promising candidate accelerating deep learning tasks. In conventional ONNs, light amplitudes are modulated at input detected output. However, phases still ignored in structures, although they can also carry information computing. To address this issue, paper, we propose framework called OplixNet to compress areas of ONNs by modulating image data into phase parts signals. The...
As one of most widely used power units, diesel engine has been paying an increasing attention on its condition monitoring and fault diagnosis. Due to the complexity structure working mechanism, diagnosis becomes rather difficult. A novel chromatometry based time domain processing method is introduced implement in this paper. The principle expounded. In mean time, application discriminating different conditions with vibration signals collected from surface cylinder block presented. result...
In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that VLC channel model is function of receiver's location, propose estimates state information (CSI) based on without transmitting pilot sequences. Second, derive Cramer-Rao lower bound (CRLB) error variance achievable rate on-off keying modulation. Third, derived performance metrics, optimize power allocation to minimize CRLB, while...