Feel free to experiment. We've done some similar work with trellis
decoding that might be useful as a starting point:
http://www.rowetel.com/?p=4147
Many of the demodulators already output soft decision information.
- David
On 01/11/17 22:49, Matei Alexandru Coltoiu wrote:
Hello,
I am trying to find a different approach regarding the poor error
handling issue.
My Idea is to write a demodulator from scratch. Instead of either having
an output consisting of approximated values (later to be fed into the
FEC decoder) or having none, we could write the demodulator so that it
adds a "tail" after each symbol so that we have
floating point values in the end. Take this example: The demodulator
would either aproximate a value between 00 and 01 or we would have an
error. With my example, it would output a value between 0000000001 and
0011111111. We would than use a cognitive decoder to "guess" wich value
it should use. I am aware that a cognitive decoder is not a piece of
cake and that we ar fighting with highly compressed data. But, given the
overhead reduction from the FEC, we should bbe able to get a decent
gain. The result in low SNR should be a noisy output but inteligible,
similar to an analog radio (sort of).
--
Colțoiu Matei Alexandru, telefon: 0373741128 <tel:0373%20741%20128>
whatsapp 0748021325 <tel:0748%20021%20325>/0770663003
<tel:0770%20663%20003>. Skype: rav0rmat
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