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H1043 Engineering And Design Assignment
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H1043 Engineering And Design Assignment
0 Download3 Pages / 542 Words
Course Code: H1043
University: University Of Sussex
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: United Kingdom
Question:
Select and deploy appropriate technical methods and techniques to address the problem
Answer:
Introduction:
In this project the objective is to develop a signal identification system that is capable of performing signal identification in a frequency band where multiple narrowband communication signals are present. The task of the signal identification system will be to detect the number of narrowband communication signals, and to extract relevant transmission parameters of each source, such as the carrier frequency, bandwidth, symbol rate and the modulation type. Different approaches will be used to build the system.
The system will be build using MATLAB and if possible, make a GUI to make it easier to use.
Transmitted signals:
All the transmitted signals will be in the form of digital signals. A preference is to make the user choose some parameters of the signals or just generate some random digital signals. An additional preferred option is to import some real signals from the internet such as voice signals. The signals that are generated will be modulated using either PSK, FSK, QPSK or BPSK. A carrier frequency will be put into each signal and transmitted through an Additive white gaussian noise channel. An option will be there for the user to set the signal to noise ratio.
The transmitted signals will have different bandwidth
Analysing the frequency spectrum
A spectrum analyser will be used to show all the signals transmitted in a specified frequency range. It will sweep through the frequencies and look for possible close by frequencies. A filter will also be used to filer out the noise signal.
Automatic channel segmentation
An algorithm is to be created to extract the carrier frequency and bandwidth of each signal from the spectrum analyser. Then demodulation in every filtered signal will be applied to get the output signal and their respective carrier frequencies and bandwidth. The approximate error in the final signal output and the original signal will also be displayed to find how much noise is still present in the signal. The types of demodulation that are to be performed are amplitude, phase, frequency based on the type of modulation that is applied to individual signals.
Simulation and results
Finally, the algorithms should get the carrier frequency and the bandwidth of the signals and they should be close to the original signal. The results will be displayed to the user.
Project plan
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Research
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MathWorks tutorials
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Matlab signal generation
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Mathlab spectrum analyser techinques
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Write interim report
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Matlab auto channel segmntion algorthim
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Build GUI
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Start writing disseratation
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