- #1
maverick280857
- 1,789
- 4
Hi
I'd appreciate help with the following problem:
Suppose I have a Bayesian metric for navigating a trellis to detect the maximum likelihood sequence on a channel corrupted by ISI. The usual Viterbi algorithm works on the usual ML (nonstochastic channel) metric. Now, given the expression for this metric, how can I use MATLAB to simulate the channel? What is the approach to solve such a problem?
Any pointers to existing books or papers on elementary simulation methods would be appreciated too.
Thanks in advance.
EDIT: Given the expression for the metric, how do I find the bit error rate?
I'd appreciate help with the following problem:
Suppose I have a Bayesian metric for navigating a trellis to detect the maximum likelihood sequence on a channel corrupted by ISI. The usual Viterbi algorithm works on the usual ML (nonstochastic channel) metric. Now, given the expression for this metric, how can I use MATLAB to simulate the channel? What is the approach to solve such a problem?
Any pointers to existing books or papers on elementary simulation methods would be appreciated too.
Thanks in advance.
EDIT: Given the expression for the metric, how do I find the bit error rate?