Search
Patexia Research
Patent No. US 11411691
Issue Date Aug 9, 2022
Claim this patent
PDF Unavailable

Patent 11411691 - Systems and methods for estimating bit error rate of a signal > Claims

  • 1. A method for generating an estimate of a bit error rate of a signal, the method comprising: obtaining an eye mask for a receiver;receiving a signal with the receiver;generating an eye mask probability density function of the eye mask;generating an eye diagram probability density function based on the signal;calculating a product of the eye mask probability density function and the eye diagram probability density function;summing the product of the eye mask probability density function and the eye diagram probability density function; andestimating the bit error rate of the signal based on the summing of the product of the eye mask probability density function and the eye diagram probability density function.
    • 2. The method of claim 1, further comprising using the estimated bit error rate of the signal to provide feedback to a system comprising the receiver.
      • 3. The method of claim 2, wherein real time estimates of the bit error rate are used as feedback to optimize transmission performance of the system.
    • 4. The method of claim 1, wherein the product of the eye mask probability density function and the eye diagram probability density function comprises a bit error rate probability density function.
    • 5. The method of claim 1, wherein the eye mask probability density function and the eye diagram probability density function are full two-dimensional fields of elemental probability.
    • 6. The method of claim 1, wherein the bit error rate is estimated without interrupting the signal.
    • 7. The method of claim 1, further comprising adjusting a parameter of a digital filter based on the estimated bit error rate.
  • 8. A system comprising: an antenna;a processor;memory; andapplication programming stored in the memory and executed by the processor, wherein the application programming operates to: obtain an eye mask for a receiver;receive a signal with the receiver;generate an eye mask probability density function of the eye mask;generate an eye diagram probability density function based on the signal;calculate a product of the eye mask probability density function and the eye diagram probability density function;sum the product of the eye mask probability density function and the eye diagram probability density function; andestimate a bit error rate of the signal based on the summing of the product of the eye mask probability density function and the eye diagram probability density function.
    • 9. The system of claim 8, wherein the application programming further operates to use the estimated bit error rate of the signal to provide feedback to a second system comprising the receiver.
      • 10. The system of claim 9, wherein real time estimates of the bit error rate are used as feedback to optimize transmission performance of the system.
    • 11. The system of claim 8, wherein the product of the eye mask probability density function and the eye diagram probability density function comprises a bit error rate probability density function.
    • 12. The system of claim 8, wherein the eye mask probability density function and the eye diagram probability density function are full two-dimensional fields of elemental probability.
    • 13. The system of claim 8, wherein the bit error rate is estimated without interrupting the signal.
    • 14. The system of claim 8, wherein the application programming further operates to adjust a parameter of a digital filter based on the estimated bit error rate.
  • 15. A computer program product comprising: a computer-readable hardware storage device having thereon computer-executable instructions executable by a processor of a computing system, wherein the instructions, when executed by the processor, cause the processor to: obtain an eye mask for a receiver;receive a signal with the receiver;generate an eye mask probability density function of the eye mask;generate an eye diagram probability density function based on the signal;calculate a product of the eye mask probability density function and the eye diagram probability density function;sum the product of the eye mask probability density function and the eye diagram probability density function; andestimate a bit error rate of the signal based on the summing of the product of the eye mask probability density function and the eye diagram probability density function.
    • 16. The computer program product of claim 15, further comprising using the estimated bit error rate of the signal to provide feedback to a system comprising the receiver.
      • 17. The of computer program product claim 16, wherein real time estimates of the bit error rate are used as feedback to optimize transmission performance of the system.
    • 18. The computer program product of claim 15, wherein the product of the eye mask probability density function and the eye diagram probability density function comprises a bit error rate probability density function.
    • 19. The computer program product of claim 15, wherein the eye mask probability density function and the eye diagram probability density function are full two-dimensional fields of elemental probability.
    • 20. The computer program product of claim 15, wherein the bit error rate is estimated without interrupting the signal.
Menu