Systems and methods for estimating bit error rate of a signal
Methods and systems for generating an estimate of a bit error rate of a signal are provided. Methods and systems include 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, and estimating 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.
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; and
estimating 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; and
application 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; and
estimate 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; and
estimate 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.