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Method for a maximum likelihood decoding of a convolutional code with decision weighting, and corresponding decoder

  • US 5,406,570 A
  • Filed: 04/16/1992
  • Issued: 04/11/1995
  • Est. Priority Date: 04/23/1991
  • Status: Expired due to Term
First Claim
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1. A method for maximum likelihood decoding of a digital signal transmitted in the presence of noise using reduced storage and processing means providing for improved weighting, the method comprising the steps ofreceiving at a receiver a sequence of received samples R(t) corresponding to a convolutional coding of a source digital elements a(t) of a signal transmitted in the presence of noise,estimating an estimation value s(t) of each of said source digital elements a(t) taking account of a first series of L received samples, including said received sample R(t) corresponding to said source digital element a(t) and the following L-1 received samples R(t+1), . . . ,R(t+L-1), L being an integer strictly greater than 1,computing a weighting coefficient m(t) representing reliability of said estimation value s(t), taking account of a second series of N received samples, comprising said received sample R(t) corresponding to said source digital element a(t) and the following N-1 received samples R(t+1), . . . , R(t+L-1), . . . , R(t+N-1), N being an integer strictly greater than L, andassociating with each of said received Sample R(t) said estimation value s(t) along with said weighting coefficient m(t) to identify at the receiver the most likely coding of the source digital elements a (t).

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