On 12/2/17, Samuel Hunt <s...@maxxwave.co.uk> wrote:
> Hi Adrian,
>
> This I understand, but then to double the air rate would then lead to a net
> reduction in sensitivity due to the wider bandwidth.
>

Hi Sam,

The gain obtained by using FEC will not only compensate but increase
your sensitivity despite the wider noise bandwidth due to increased
symbol rate, but only if you perform soft symbol decoding, typically
with the Viterbi algorithm.

Let me explain what I mean by using a binary FSK system. Hard decision
decoding means you look at the levels and you take everything above 0
as a 1 and everything below 0 as a 0 and pass that to the decoder.
This method discards a lot of information, especially when you have
slight errors with symbol interference crossing the threshhold a
little .
With soft decision decoding, you pass to the FEC decoder a range of
say 1...255, with 1 being a definite 0 and 255 a definite one. Then
you let the Viterbi decoder choose the correct path through the
trellis. This means that small errors, which cross the hard threshhold
slightly, will be corrected using FEC information. A convolutional
code with K=7, N=2 will provide ~3 dB gain in the 1e-3 to 1e-2 BER
zone compared to uncoded channel. There are plots available on the
internet for different FEC implementations.

This was just an example for understanding FEC. There are other
techniques which work even better, for example using an inner code
with Viterbi decoding and an outer code like Reed-Solomon. Some
encoders work best at high symbol rate and introduce high latency,
others can deal with low rates and very little latency.

Best regards,
Adrian

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