This blog is talking about our year 2 project. The name of project is noise analysis and mitigation in high speed wireless communication system. In this experiment, the MATLAB is required to be used.
Wednesday, 6 March 2013
Friday, 1 March 2013
Channel Capacity (finished)
Today, we have finish the Firgure of Channel Capacity which is shown below;
As the figure shows, there are four lines about the different channel capacities. Next step, we are going to work out which BER of unipolar NRZ and bioplar NRZ are more effective in AWGN channel or fading channel.
As the figure shows, there are four lines about the different channel capacities. Next step, we are going to work out which BER of unipolar NRZ and bioplar NRZ are more effective in AWGN channel or fading channel.
Friday, 22 February 2013
Channel Capacity (Unfinished with simulation )
According to the concepts, we know that in the presence of noise, if the number of signal levels M increases, the ability of the receiever to distinguish between symbols decreaes. Hence, we should try to find an appropriate channel to achieve the mitigation of the noise.
There are some channels which are normal to be used in the communication system. AWGN channel and Rayleigh Fading Channel. When we are doing some calculations, the Shannon's Theorem is strongly recommended.
In this experiment, we should find the lower and upper AWGN channel capacity bound and the approximate capacity, then find the numerically computed shannon capacity.
Shannon capacity upper and lower bound are shown in the following formulas,
respectively
At the end of the today's experiment, we havn't simulated all results, so the final figure will be posted in the next blog.
Wednesday, 20 February 2013
The AWGN Channel
The AWGN Channel, the model can be
expressed as following Figure.
Vt=Ut+Nt
Vt: the channel output
Ut: the channel input
Nt:
AWGN random
variable with mean zero and variance N0
The Shannon
capacity equation: C=B log2(1+S/N)
Sunday, 17 February 2013
Three simulations as the project goes so far.
As we mentioned before, we've already make the Unipolar NRZ in AWGN channel, the figure below is the Bioplar NRZ in AWGN channel;
SUMMARY: As these two figures shows, we can know that the BER of binary bipolar NRZ signal is smaller than the unipolar both in AWGN channel.
Additionally, we make a graph to compare the fading channel and AWGN channel which shown below,
SUMMARY: As these two figures shows, we can know that the BER of binary bipolar NRZ signal is smaller than the unipolar both in AWGN channel.
Additionally, we make a graph to compare the fading channel and AWGN channel which shown below,
SUMMARY: As the figure shows, the capacity of the AWGN channel is higer than the Fading channel and it is always at the top of the Fading channel.
Friday, 15 February 2013
Some concepts in the project------A SUMMARY
Tuesday, 12 February 2013
Simulate the numerical BER of Unipolar NRZ in AWGN channels
After reading the sheets given from the supervisor, we clearly understand some concepts of the noise systems and some parameters such as unipolar, bipolar and bits error rate(BER) etc. In matlab, the simulation of the unipolar NRZ is shown below,
As the project required, we should simulate another AWGN channel which relate to Bipolar. The latest result will come out at next blog.
Friday, 8 February 2013
BER of Unipolar and Bipolar
The BER of unipolar (only have nonnegative voltage levels) can be expressed in terms of Eb
The BER of
bipolar (both positive and negative voltage levels) can beexpressed in terms of Eb
Try to use MATLAB to show the equations
Friday, 1 February 2013
Understanding the project
Today,we have finished two tasks.
- Make a plan for this project
This project has four parts:
a. Understanding what noise is and how use MATLAB to analyse and simulate from materials.
b. Simulate the noise in wireless communication system.
c. Find the solution on how to mitigate the noise in high speed wireless communication.
d. Finish the project and correct the mistake to be shown.
(Each part will be finished with two partner meetings in each week.) - Prepare the materials
a. Read the project sheets: Noise and Signal in Digital Communication Systems [Dr. Xu(Judy)Zhu]
b. Read the report: Rayleigh Flat Fading Channels' Capacity.
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