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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