SlideShare une entreprise Scribd logo
1  sur  1
Télécharger pour lire hors ligne
PREDICTIVE METHOD FOR MULTIPLEXING
LAGUERRE-GAUSSIAN BEAMS AT RADIO FREQUENCIES
Motivation
Summary
Acknowledgments
S. Sharma1, H. Yao1, H. Kumar1, T. Ei1, R. Henderson1, S. Ashrafi2, D. L. MacFarlane3, Z. Zhao4, Y. Yan4, A. Willner4
1University of Texas at Dallas, Richardson, TX; 2NxGen Partners LLC, Dallas, TX; 3Southern Methodist University, Dallas, TX; 4University of Southern California, Los Angeles, California.
Background
• Description
• Description
• The multiplexing and de-multiplexing of LG beams are carried out using a toolkit in MATLAB.
• MATLAB results validate hypothesis posed in communication demo.
Future Work
Problem Statement
Proposed Solution
Phase Plots
References
• Laguerre Gaussian beams are higher order Gaussian beams containing
orbital angular momentum.
• Orbital angular momentum (OAM) based communication systems have
been proposed to increase the total channel capacity at radio
frequencies.
• The intensity at the center of a Laguerre Gaussian(LG) beam has a null
giving its intensity pattern as donut shaped.
• The size of the hole along the
axis of the LG beam
increases as the mode
increases.
• Different LG modes are
mutually orthogonal.
• The phase plot of LG modes
are spiral/twisted in shape.
• Using a mathematical model we propose to validate the results
obtained in the ‘Experimental Demonstration of Dual-channel E-band
Communication Link using Commercial Impulse Radios with Orbital
Angular Momentum Multiplexing’.
• Express field equations at each point of the communication link.
• Use MATLAB tools to generate OAM modes at 73GHz and compare to
the demonstration.
• Demonstrate the multiplexing of LG beams at the transmitter and
demultiplexing at the receiver along the same channel
• This demo shows that multiplexing leads to
adding of two beams spatially and
demultiplexing leads to untwisting of beams.
• To provide a numerical technique to support the dual-channel E-band
multiplexing demonstration.
Fig.1: Laguerre-Gaussian Beams
• Build functions to take in account loss,
alignment and zoom factor for the beam.
• Take into account the signal to noise ratio for
successful receiving of the Gaussian beam in
the second channel.
• Using MATLAB toolkit for LG beams, fields are defined at all points of the communication link (figure 2) [1].
• Demo: (1) Generate message signal & modulate on 73 GHz; Using impulse radios, transmit Gaussians on
Ch1/Ch2; (2) Introduce OAM (Twist), Combine & Transmit; (3) Receive, Split and Remove OAM (Untwist); (4)
Measure bit error rate (BER) to confirm communication.
• Hypothesis – We can untwist Ch1 signal back to Gaussian and measure the signal.
• [1]https://www.mathworks.com/matlabcentral/fi
leexchange/15459-basic-paraxial-optics-
toolkit/content/transverse/LaguerreGaussian.m
• Y. Yan, et al. “High-capacity millimetre-wave
communications with orbital angular
momentum multiplexing,” Nature
Communications 5 (2014).
Fig. 3: Dual-Channel Communication Link for Multiplexing & Demultiplexing two LG beams
Fig.4 : Phase Plot
of fields present at
each point of
communication
link
Multiplex LG= +1 & LG = -3
• This work was sponsored by NxGen Partners
LLC.
Example Code
LG= +1Gaussian
LG=-3
Demultiplex (LG +1 and LG-3)* (LG-1)
Gaussian & LG = -4
Fig. 2. Photograph of the experimental setup

Contenu connexe

Similaire à shilpi_TxACE_Poster_rmh

chapter 2 for communication systems course
chapter 2 for communication systems coursechapter 2 for communication systems course
chapter 2 for communication systems coursewivoba3163
 
International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)inventionjournals
 
MOBILE COMPUTING and WIRELESS COMMUNICATION
MOBILE COMPUTING and WIRELESS COMMUNICATION MOBILE COMPUTING and WIRELESS COMMUNICATION
MOBILE COMPUTING and WIRELESS COMMUNICATION Jay Nagar
 
Massive MIMO and Random Matrix
Massive MIMO and Random MatrixMassive MIMO and Random Matrix
Massive MIMO and Random MatrixVARUN KUMAR
 
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm SystemsComparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm SystemsIOSR Journals
 
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm SystemsComparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm SystemsIOSR Journals
 
Improvement of Fading Channel Modeling Performance for Wireless Channel
Improvement of Fading Channel Modeling Performance for Wireless Channel Improvement of Fading Channel Modeling Performance for Wireless Channel
Improvement of Fading Channel Modeling Performance for Wireless Channel IJECEIAES
 
ECEN+5264 TERM PAPER_Mithul Thanu
ECEN+5264 TERM PAPER_Mithul ThanuECEN+5264 TERM PAPER_Mithul Thanu
ECEN+5264 TERM PAPER_Mithul ThanuMithul Thanu
 
Localization of Objects using Stochastic Tunneling
Localization of Objects using Stochastic TunnelingLocalization of Objects using Stochastic Tunneling
Localization of Objects using Stochastic TunnelingRana Basheer
 
Electronics and Communication Engineering : Communications, THE GATE ACADEMY
Electronics and Communication Engineering : Communications, THE GATE ACADEMYElectronics and Communication Engineering : Communications, THE GATE ACADEMY
Electronics and Communication Engineering : Communications, THE GATE ACADEMYklirantga
 
Propagation measurements and models for wireless channels
Propagation measurements and models for wireless channelsPropagation measurements and models for wireless channels
Propagation measurements and models for wireless channelsNguyen Minh Thu
 
Adc lab experimets
Adc lab experimetsAdc lab experimets
Adc lab experimetsishan111
 
Fritz_TREND POSTER
Fritz_TREND POSTERFritz_TREND POSTER
Fritz_TREND POSTERChris Fritz
 
An introduction to spread spectrum communications
An introduction to spread spectrum communicationsAn introduction to spread spectrum communications
An introduction to spread spectrum communicationsFarzad Nuseeb
 

Similaire à shilpi_TxACE_Poster_rmh (20)

Dq24746750
Dq24746750Dq24746750
Dq24746750
 
Taiwan course
Taiwan courseTaiwan course
Taiwan course
 
chapter 2 for communication systems course
chapter 2 for communication systems coursechapter 2 for communication systems course
chapter 2 for communication systems course
 
International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)
 
Ee424 fading
Ee424 fadingEe424 fading
Ee424 fading
 
MOBILE COMPUTING and WIRELESS COMMUNICATION
MOBILE COMPUTING and WIRELESS COMMUNICATION MOBILE COMPUTING and WIRELESS COMMUNICATION
MOBILE COMPUTING and WIRELESS COMMUNICATION
 
Massive MIMO and Random Matrix
Massive MIMO and Random MatrixMassive MIMO and Random Matrix
Massive MIMO and Random Matrix
 
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm SystemsComparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
 
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm SystemsComparative Analysis of Varios Diversity Techniques for Ofdm Systems
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
 
Ch 3
Ch 3Ch 3
Ch 3
 
Improvement of Fading Channel Modeling Performance for Wireless Channel
Improvement of Fading Channel Modeling Performance for Wireless Channel Improvement of Fading Channel Modeling Performance for Wireless Channel
Improvement of Fading Channel Modeling Performance for Wireless Channel
 
ECEN+5264 TERM PAPER_Mithul Thanu
ECEN+5264 TERM PAPER_Mithul ThanuECEN+5264 TERM PAPER_Mithul Thanu
ECEN+5264 TERM PAPER_Mithul Thanu
 
Localization of Objects using Stochastic Tunneling
Localization of Objects using Stochastic TunnelingLocalization of Objects using Stochastic Tunneling
Localization of Objects using Stochastic Tunneling
 
Electronics and Communication Engineering : Communications, THE GATE ACADEMY
Electronics and Communication Engineering : Communications, THE GATE ACADEMYElectronics and Communication Engineering : Communications, THE GATE ACADEMY
Electronics and Communication Engineering : Communications, THE GATE ACADEMY
 
Radio propagation
Radio propagation Radio propagation
Radio propagation
 
Propagation measurements and models for wireless channels
Propagation measurements and models for wireless channelsPropagation measurements and models for wireless channels
Propagation measurements and models for wireless channels
 
Adc lab experimets
Adc lab experimetsAdc lab experimets
Adc lab experimets
 
Acoustic Model.pptx
Acoustic Model.pptxAcoustic Model.pptx
Acoustic Model.pptx
 
Fritz_TREND POSTER
Fritz_TREND POSTERFritz_TREND POSTER
Fritz_TREND POSTER
 
An introduction to spread spectrum communications
An introduction to spread spectrum communicationsAn introduction to spread spectrum communications
An introduction to spread spectrum communications
 

shilpi_TxACE_Poster_rmh

  • 1. PREDICTIVE METHOD FOR MULTIPLEXING LAGUERRE-GAUSSIAN BEAMS AT RADIO FREQUENCIES Motivation Summary Acknowledgments S. Sharma1, H. Yao1, H. Kumar1, T. Ei1, R. Henderson1, S. Ashrafi2, D. L. MacFarlane3, Z. Zhao4, Y. Yan4, A. Willner4 1University of Texas at Dallas, Richardson, TX; 2NxGen Partners LLC, Dallas, TX; 3Southern Methodist University, Dallas, TX; 4University of Southern California, Los Angeles, California. Background • Description • Description • The multiplexing and de-multiplexing of LG beams are carried out using a toolkit in MATLAB. • MATLAB results validate hypothesis posed in communication demo. Future Work Problem Statement Proposed Solution Phase Plots References • Laguerre Gaussian beams are higher order Gaussian beams containing orbital angular momentum. • Orbital angular momentum (OAM) based communication systems have been proposed to increase the total channel capacity at radio frequencies. • The intensity at the center of a Laguerre Gaussian(LG) beam has a null giving its intensity pattern as donut shaped. • The size of the hole along the axis of the LG beam increases as the mode increases. • Different LG modes are mutually orthogonal. • The phase plot of LG modes are spiral/twisted in shape. • Using a mathematical model we propose to validate the results obtained in the ‘Experimental Demonstration of Dual-channel E-band Communication Link using Commercial Impulse Radios with Orbital Angular Momentum Multiplexing’. • Express field equations at each point of the communication link. • Use MATLAB tools to generate OAM modes at 73GHz and compare to the demonstration. • Demonstrate the multiplexing of LG beams at the transmitter and demultiplexing at the receiver along the same channel • This demo shows that multiplexing leads to adding of two beams spatially and demultiplexing leads to untwisting of beams. • To provide a numerical technique to support the dual-channel E-band multiplexing demonstration. Fig.1: Laguerre-Gaussian Beams • Build functions to take in account loss, alignment and zoom factor for the beam. • Take into account the signal to noise ratio for successful receiving of the Gaussian beam in the second channel. • Using MATLAB toolkit for LG beams, fields are defined at all points of the communication link (figure 2) [1]. • Demo: (1) Generate message signal & modulate on 73 GHz; Using impulse radios, transmit Gaussians on Ch1/Ch2; (2) Introduce OAM (Twist), Combine & Transmit; (3) Receive, Split and Remove OAM (Untwist); (4) Measure bit error rate (BER) to confirm communication. • Hypothesis – We can untwist Ch1 signal back to Gaussian and measure the signal. • [1]https://www.mathworks.com/matlabcentral/fi leexchange/15459-basic-paraxial-optics- toolkit/content/transverse/LaguerreGaussian.m • Y. Yan, et al. “High-capacity millimetre-wave communications with orbital angular momentum multiplexing,” Nature Communications 5 (2014). Fig. 3: Dual-Channel Communication Link for Multiplexing & Demultiplexing two LG beams Fig.4 : Phase Plot of fields present at each point of communication link Multiplex LG= +1 & LG = -3 • This work was sponsored by NxGen Partners LLC. Example Code LG= +1Gaussian LG=-3 Demultiplex (LG +1 and LG-3)* (LG-1) Gaussian & LG = -4 Fig. 2. Photograph of the experimental setup