Convolutional decoder using soft-decision decoding with channel state information

Claim 2

A convolutional decoder for decoding a data message comprised of a plurality of multilevel symbols, the decoder comprising: means for recovering at least one symbol representing a plurality of bits; means for assigning at least two bit metrics to at least one bit of said recovered at least one symbol, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 3

A convolutional decoder in accordance with claim 1 further comprising means for obtaining channel state information.

Claim 4

A convolutional decoder in accordance with claim 2 wherein said means for assigning further comprises means for combining said channel state information to calculate said assigned at least two bit metrics.

Claim 5

A convolutional decoder in accordance with claim 3 further comprising means for coupling said assigned at least two bit metrics to means for Viterbi decoding to recover the data message.

Claim 6

A convolutional decoder in accordance with claim 4 wherein said means for coupling further comprises means for de-interleaving said assigned at least two bit metrics.

Claim 7

A convolutional decoder in accordance with claim 1 wherein said means for assigning further comprises means for determining a modified Euclidean distance.

Claim 10

The method of claim 7 further including the step of obtaining channel state information.

Claim 11

The method of claim 8 further including the step of combining said channel state information to calculate said assigned at least two bit metrics.

Claim 12

The method of claim 9 further including the step of coupling said assigned at least two bit metrics and Viterbi decoding to recover the data message.

Claim 13

The method of claim 10 further including the step of de-interleaving said assigned at least two metrics.

Claim 14

The method of claim 7 further including the step of determining a modified Euclidean distance.

Claim 15

A digital receiver employing a convolutional decoder for decoding a data message comprised of a plurality of multilevel symbols, said digital receiver comprising: means for recovering at least one symbol representing a plurality of bits; means for assigning at least two bit metrics to at least one bit of said symbol, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; means for obtaining channel state information coupled to said means for assigning; means for combining said channel state information with at least one bit of said recovered at least one symbol; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 16

A digital receiver employing a convolutional decoder for decoding a data message comprised of a plurality of multilevel symbols, said digital receiver comprising: means for recovering at least one symbol representing a plurality of bits; means for assigning at least two bit metrics to at least one bit of said symbol, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; means for obtaining channel state information coupled to said means for assigning; means for combining said channel state information with at least one bit of said recovered at least one symbol; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 17

A digital receiver in accordance with claim 13 further comprising means for de-interleaving said assigned at least two bit metrics.

Claim 18

A digital receiver in accordance with claim 13 further comprising means for coupling said assigned at least two bit metrics to a means for Viterbi decoding to recover the data message.

Claim 19

A convolutional decoder for decoding a data message comprised of a plurality of multilevel symbols, the decoder comprising: means for obtaining at least one received symbol representing a plurality of bits; means for obtaining complex channel gain from said at least one received symbol; means, coupled to said means for obtaining said complex channel gain, for computing magnitude squared of said complex channel gain; means for computing a phase and amplitude corrected symbol from said at least one received symbol and said complex channel gain; means, coupled to said means for computing said phase and amplitude corrected symbol, for computing bit signals; means, coupled to said means for computing said magnitude squared of said complex channel gain and said means for computing said bit signals, for assigning at least two bit metrics to at least one bit of said at least one received symbol, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 20

A convolutional decoder for decoding a data message comprised of a plurality of multilevel symbols, the decoder comprising: means for obtaining at least one received symbol representing a plurality of bits; means for obtaining complex channel gain from said at least one received symbol; means, coupled to said means for obtaining said complex channel gain, for computing magnitude squared of said complex channel gain; means for computing a phase and amplitude corrected symbol from said at least one received symbol and said complex channel gain; means, coupled to said means for computing said phase and amplitude corrected symbol, for computing bit signals; means, coupled to said means for computing said magnitude squared of said complex channel gain and said means for computing said bit signals, for assigning at least two bit metrics to at least one bit of said at least one received symbol, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 21

A convolutional decoder in accordance with claim 16 further comprising means for de-interleaving said assigned at least two bit metrics.

Claim 22

A convulutional decoder in accordance with claim 16 further comprising means for Viterbi decoding of said assigned at least two bit metrics.

Claim 25

The method of claim 19 further including the step of de-interleaving said assigned at least two bit metrics.

Claim 26

The method of claim 19 further including the step of Viterbi decoding of said assigned at least two bit metrics.

Claim 27

A decoder for decoding a data message comprised of a plurality of multilevel symbols, the decoder comprising: means for obtaining at least one received symbol representing a plurality of bits; means for computing at least two bit signals for said obtained at least one received symbol; means, coupled to said means for computing, for assigning at least two bit metrics from said computed at least two bit signals, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 28

A decoder for decoding a data message comprised of a plurality of multilevel symbols, the decoder comprising: means for obtaining at least one received symbol representing a plurality of bits; means for computing at least two bit signals for said obtained at least one received symbol; means, coupled to said means for computing, for assigning at least two bit metrics from said computed at least two bit signals, wherein a bit metric is a number reflecting a confidence level that said at least one bit is a binary "1" or "0"; and means for determining a binary value for said at least one bit from said at least two bit metrics.

Claim 29

A decoder in accordance with claim 22, further comprising means for obtaining channel state information.

Claim 30

A decoder in accordance with claim 23, wherein said means for computing further comprises means for combining said at least two bit signals with said channel state information.

Claim 31

A decoder in accordance with claim 22, further comprising means for de-interleaving said assigned at least two bit metrics.

Claim 32

A decoder in accordance with claim 22, further comprising means for Viterbi decoding of said assigned at least two bit metrics.

Claim 33

A decoder in accordance with claim 22, wherein said means for computing further comprises means for determining a modified Euclidean distance.

Claim 34

A decoder in accordance with claim 22, wherein said means for computing further comprises means for obtaining complex channel gain from said at least one received symbol.

Claim 35

A decoder in accordance with claim 28, wherein said means for computing further comprises means, coupled to said means for obtaining said complex channel gain, for computing magnitude squared of said complex channel gain.

Claim 36

A decoder in accordance with claim 29, wherein said means for computing further comprises means for computing a phase and amplitude corrected symbol from said at least one received symbol and said complex channel gain.

Claim 37

A decoder in accordance with claim 30, wherein said means for computing further comprises means for computing bit signals from said computed phase and amplitude corrected symbol.

Claim 40

The method of claim 32, further comprising the step of obtaining channel state information.

Claim 41

The method of claim 33, wherein said computing step further comprises the step of combining said at least two bit signals with said channel state information.

Claim 42

The method of claim 32, further comprising the step of de-interleaving said assigned at least two bit metrics.

Claim 43

The method of claim 32, further comprising the step of Viterbi decoding of said assigned at least two bit metrics.

Claim 44

The method of claim 32, wherein said computing step further comprises the step of determining a modified Euclidean distance.

Claim 45

The method of claim 32, wherein said computing step further comprises the step of obtaining complex channel gain from said at least one received symbol.

Claim 46

The method of claim 38, wherein said computing step further comprises the step of computing magnitude squared of said complex channel gain from said complex channel gain.

Claim 47

The method of claim 39, wherein said computing step further comprises the step of computing a phase and amplitude corrected symbol from said at least one received symbol and said complex channel gain.

Claim 48

The method of claim 40, wherein said computing step further comprises the step of computing bit signals from said computed phase and amplitude corrected symbol.