Telecommunication MATLAB Projects

Remote Data Acquisition Using Cdma Rf Link

The primary objective of this project would be to Design and Develop a Remote Radar Data Acquisition and control using CDMA RF Link and to Test with an radar seeker that is existing. All necessary important parameters and status of the seeker are collected for analysis to ascertain the health of the Seeker during testing and launching of the missile.

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Orthogonal Frequency Division Multiplexing (OFDM) Signaling

In this project MATLAB system has been written to investigate Orthogonal Frequency Division
Multiplexing (OFDM) communication systems. This program is valuable for future scientists systems that are simulating too theoretically complex to investigate systems.

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CDMA MODEM DESIGN USING DIRECT SEQUENCE SPREAD SPECTRUM (DSSS)

The CDMA modem is simulated using Direct Sequence Spread spectrum in this project. The time that is real of signal, BPSK modulation, and multiplication with a pseudo random code to generate Spread Spectrum is utilized for transmitting it over a common frequency band and descrambling the signal utilizing the exact same pseudo-random rule during the receiver.

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Software Tools and Simulators in the Education of Engineering of Telecommunications using MATLAB

The use of software tools and simulators in the education field has a growing interest in most of universities and educational procedures. Nowadays, in university education new technologies are used to improve and complement the theoretical concepts explained in class. In this paper we are going to present the simulation tools most used in Telecommunication Engineering at the Polytechnic University of Valencia. These programmes are also used in other fields such as in the industry and researching. After presenting the main characteristics of each software tool, a questionary study is included to analyze the benefits and drawbacks of each tool from the point of view of the student, its complexity and advantages for educational purposes.

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Scaled Synthetic Aperture Radar System Development using MATLAB

Synthetic Aperture Radar (SAR) systems generate two dimensional images of a target area using RF energy as opposed to light waves used by cameras. When cloud cover or other optical obstructions prevent camera imaging over a target area, SAR can be substituted to generate high resolution images. Linear frequency modulated signals are transmitted and received while a moving imaging platform traverses a target area to develop high resolution images through modern digital signal processing (DSP) techniques. The motivation for this joint thesis project is to design and construct a scaled SAR system to support Cal Poly radar projects. Objectives include low-cost, high resolution SAR architecture development for capturing images in desired target areas. To that end, a scaled SAR system was successfully designed, built, and tested. The current SAR system, however, does not perform azimuthal compression and range cell migration correction (image blur reduction). These functionalities can be pursued by future students joining the ongoing radar project. The SAR system includes RF modulating, demodulating, and amplifying circuitry, broadband antenna design, movement platform, LabView system control, and MATLAB signal processing. Each system block is individually described and analyzed followed by final measured data. To confirm system operation, images developed from data collected in a single target environment are presented and compared to the actual configuration.

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Techniques, Taxonomy, and Challenges of Privacy Protection in the Smart Grid using MATLAB

As the ease with which any data are collected and transmitted increases, more privacy concerns arise leading to an increasing need to protect and preserve it. Much of the recent high-profile coverage of data mishandling and public mis- leadings about various aspects of privacy exasperates the severity. The Smart Grid (SG) is no exception with its key characteristics aimed at supporting bi-directional information flow between the consumer of electricity and the utility provider. What makes the SG privacy even more challenging and intriguing is the fact that the very success of the initiative depends on the expanded data generation, sharing, and pro- cessing. In particular, the deployment of smart meters whereby energy consumption information can easily be collected leads to major public hesitations about the tech- nology. Thus, to successfully transition from the traditional Power Grid to the SG of the future, public concerns about their privacy must be explicitly addressed and fears must be allayed. Along these lines, this chapter introduces some of the privacy issues and problems in the domain of the SG, develops a unique taxonomy of some of the recently proposed privacy protecting solutions as well as some if the future privacy challenges that must be addressed in the future.

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Visible and Mid-Infrared Supercontinuum Generation and their Respective Application to 3D Imaging and Stand-off Reflection Spectroscopy using MATLAB

The thesis describes broadband supercontinuum (SC) generation in optical fibers for both the visible and mid-infrared regions of the spectrum, and their respective application to 3D imaging and stand-off reflection spectroscopy. Both SC sources leverage mature telecom technology, and are based on a common all-fiber integrated platform comprising a ~1.55 micron distributed feedback seed laser diode amplified to high peak powers in two stages of cladding pumped Erbium or Erbium-Ytterbium fiber amplifiers. A visible SC extending from 0.45-1.20 microns with 0.74 W of time-averaged power is demonstrated using a two step process. The output of the Er-Yb power amplifier is frequency doubled to ~0.78 micron using a periodically poled lithium niobate crystal, followed by non-linear spectral broadening in 2m of high nonlinearity photonic crystal fiber. Numerical simulations based on solving the generalized non-linear Schr??dinger equation are also presented to verify the underlying SC generation mechanisms and predict further improvements. The above SC source is used in a Fourier domain line scan interferometer to measure the height and identify shape defects of ~300 micron high solder balls in a ball grid array. The 3D imaging system has an axial resolution of ~125 nm, transverse resolution of ~15 microns, and an angular measurement range between 20 to 60 degrees depending on the sample surface roughness. The mid-infrared SC source is generated by pumping a 9m long ZrF4-BaF2-LaF3-AlF3-NaF (ZBLAN) fiber to obtain a spectrum spanning 0.8-4.3 microns with 3.9 W time-averaged power. The output power is linearly scalable with pump power, but requires optimization of the critical splices and thermal management of the gain fiber and pump diodes to ensure stable high power operation. Finally, an application of the mid-IR SC is demonstrated by measuring the diffuse reflection spectra of solid samples at a stand-off distance of 5 m and 100 ms integration time. The samples can be distinguished using a correlation algorithm based on distinct spectral features in the reflection spectrum. Signal to noise ratio calculations show that the distance is limited by space constraints in our lab and can be extended to ~150 m.

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Linking Advanced Visualization and MATLAB for the Analysis of 3D Gene Expression Data using MATLAB

Three-dimensional gene expression PointCloud data generated by the Berkeley Drosophila TranscriptionNetwork Project (BDTNP) provides quantitative information about the spatial and temporal expression of genes in early Drosophila embryos at cellular resolution. The BDTNP team visualizes and analyzes Point- Cloud data using the software application PointCloudXplore (PCX). To maximize the impact of novel, complex data sets, such as PointClouds, the data needs to be accessible to biologists and comprehensible to developers of analysis functions.We address this challenge by linking PCX and Matlab® via a dedicated interface, thereby providing biologists seamless access to advanced data analysis functions and giving bioinformatics researchers the opportunity to integrate their analysis directly into the visualization application. To demonstrate the usefulness of this approach, we computationally model parts of the expression pattern of the gene even skipped using a genetic algorithm implemented in Matlab and integrated into PCX via our Matlab interface.

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An Accelerator Control Middle Layer Using MATLAB using MATLAB

Matlab is an interpretive programming language originally developed for convenient use with the LINPACK and EISPACK libraries. Matlab is appealing for accelerator physics because it is matrix-oriented, provides an active workspace for system variables, powerful graphics capabilities, built-in math libraries, and platform independence. A number of accelerator software toolboxes have been written in Matlab - the Accelerator Toolbox (AT) for model-based machine simulations, LOCO for on-line model calibration, and Matlab Channel Access (MCA) to connect with EPICS. The function of the MATLAB ‘Middle Layer’ is to provide a scripting language for machine simulations and on-line control, including non-EPICS based control systems. The Middle Layer has simplified and streamlined development of high-level applications including configuration control, energy ramp, orbit correction, photon beam steering, ID compensation, beam-based alignment, tune correction and response matrix measurement. The database-driven Middle Layer software is largely machine-independent and easy to port. Six accelerators presently use the software package with more scheduled to come on line soon.

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Design of a Transmitter for Ultra Wideband Radio using MATLAB

Impulse radio communication systems and impulse radars both utilizes very short pulses in transmission that results in an ultra-wideband spectrum. This paper discusses the various techniques for transmission of the UWB impulses and also some receiver techniques. Also the design consideration for THSS-UWB transmitter using Matlab Simulink block is presented

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