Channel error rate optimization using markov codes
AssigneeSeagate Technology LLC
InventorRaman Venkataramani
Life of this patent
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Abstract
In one embodiment, a system provides for optimizing an error rate of data through a communication channel. The system includes a data generator operable to generate a training sequence as a Markov code, and to propagate the training sequence through the communication channel. The system also includes a Soft Output Viterbi Algorithm (SOVA) detector operable to estimate data values of the training sequence after propagation through the communication channel. The system also includes an optimizer operable to compare the estimated data values to the generated training sequence, to determine an error rate based on the comparison, and to change the training sequence based on the Markov code to lower the error rate of the data through the communication channel.
Claims20
A system for optimizing an error rate of data through a communication channel, the system comprising:
- a data generator operable to generate a training sequence as a Markov code, and to propagate the training sequence through the communication channel;
- a Soft Output Viterbi Algorithm (SOVA) detector operable to estimate data values of the training sequence after propagation through the communication channel;
- and
- an optimizer operable to compare the estimated data values to the generated training sequence, to determine an error rate based on the comparison, and to change the training sequence based on the Markov code to lower the error rate of the data through the communication channel.
A method of optimizing an error rate of data through a communication channel, the system comprising:
- generating a training sequence as a Markov code;
- propagating the training sequence through the communication channel;
- estimating data values of the training sequence after propagation through the communication channel;
- comparing the estimated data values to the generated training sequence;
- determining an error rate based on the comparison;
- and
- changing the training sequence based on the Markov code to lower the error rate of the data through the communication channel.
A non-transitory computer readable medium comprising instructions that, when executed by a processor, are operable to direct the processor to optimize an error rate of data through a communication channel, the instructions for the directing the processor to:
- generate a training sequence as a Markov code source;
- propagate the training sequence through the communication channel;
- estimate data values of the training sequence after propagation through the communication channel;
- compare the estimated data values to the generated training sequence;
- determine an error rate based on the comparison;
- and
- change the training sequence based on the Markov code to lower the error rate of the data through the communication channel.
Dependencies are inferred from the claim text.