Impact of quantization on performance of convolutional codes (soft decisions)
Computes BER v EbNo curve for convolutional encoding / soft decision
Viterbi decoding scheme assuming BPSK.
Brute force Monte Carlo approach is unsatisfactory (takes too long)
to find the BER curve.
The computation uses a quasi-analytic (QA) technique that relies on the
estimation (approximate one) of the information-bits Weight Enumerating
Function (WEF) using
A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.
Cite As
B Gremont (2024). Impact of quantization on performance of convolutional codes (soft decisions) (https://www.mathworks.com/matlabcentral/fileexchange/14840-impact-of-quantization-on-performance-of-convolutional-codes-soft-decisions), MATLAB Central File Exchange. Retrieved .
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1.0.0.0 |