2012年2月27日星期一
2012年2月26日星期日
Matlab operating results of the part of the capacity channel
Two weeks ago, our group established a
Matlab model. When the code has been done, we encountered some problems. Under
the help of our supervisor and classmates, we have solved these problems.
Simulation of Communication Systems with MATLAB
Methodology channel capacity
Need
to create a matlab model,
The
abscissa x is the SNR (2)
S=Eb
(energy)
B(bandwidth)In this project, the B equal
to a constant 1.
The
vertical axis there are four
1, channel
capacity (3)
Our supervisor told us the a is equal to
2 in this project.
Then the channel capacity, which is
defined to be am upper bound for the data rate that can be achieved with an
arbitrarily small error probability in an AWNG channel,
2,
fading channel capacity(9)
σ=randn(1,1)+jrandn(1,1)
This
is get from our supervisor should be used in the matlab.
Low band
2012年2月25日星期六
Rayleigh Channel Capacity---week2
One of this project that is channel capacity has been done.
We consider single-user transmission over a Rayleigh flat fading channel, in which the Channel State Information (CSI) is known by the receiver only. Subject to an average transmit power constraint; we study the capacity of an Additive White Gaussian Noise (AWGN) channel with Rayleigh fading. Under an independently identically distributed fading assumption, lower and upper bounds of the channel capacity are given and proved and they are compared to the capacity results numerically computed. Besides, an approximation result of such channel capacity is proposed, and by conducting numerical comparison it is shown that our suggested approximation result has a better performance in approximating Rayleigh fading channels capacity than the bounds given above. In addition, the channel capacity with outage probability is discussed and compared with different outage probabilities.
Rayleigh Channels' Capacity---week 1
In the first week of the project,
we defined the purpose of the project. This project has been divided into two parts channel capacity and bit error rate (BER) of high wireless communication system. The main part of this project
is simulated with Matlab.
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