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BER vs. SNR of a binary antipodal communication system

version 1.0.0.0 (1.9 KB) by Sanjeet Kumar
Estimates and plots the error probability performance of a binary antipodal communication system

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Updated 16 Sep 2009

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A uniform random number generator is used to generate the binary information sequence from the binary data source. The sequence of ‘0’s and ‘1’s is mapped into sequence of +E and –E
where E represents the signal energy. E may be normalized to unity
The Gaussian noise generator is used to generate the sequence of ‘0’ mean and variance σ2 Gaussian random numbers. The detector compares the random variable ‘r’ with the threshold of ‘0’. If r > 0, the decision is made that the transmitted bit is ‘0’. If r < 0, the decision is made that the transmitted bit is ‘1’. The output of the detector is compared with the transmitted sequence of information bits and the bit errors are counted.

Cite As

Sanjeet Kumar (2021). BER vs. SNR of a binary antipodal communication system (https://www.mathworks.com/matlabcentral/fileexchange/25334-ber-vs-snr-of-a-binary-antipodal-communication-system), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (3)

Yupeng Zhang

Syed Ali Shaheen

samar Alaraj

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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