Noise identification in a communication system
View Patent ↗A method is provided to automatically identify noise events in a channel of a communication system comprising the steps of: receiving an input signal from the channel; determining the mean energy of the input signal; determining the recent energy of the input signal; identifying a beginning of the noise event when the recent energy is greater than the product of the mean energy and a predefined first threshold; identifying an end of a noise event when the recent energy is less that the product of the mean energy and a predefined second threshold; and providing for output the beginning of the noise event and the end of the noise event. Other systems and methods are disclosed.
1. A method to automatically identify noise events in a channel of a communication system comprising the steps of:
a. receiving an input signal from the channel;
b. determining mean energy of the input signal;
c. determining recent energy of the input signal;
d. identifying a beginning of the noise event when the recent energy is greater than a product of the mean energy and a predefined first threshold;
e. identifying an end of a noise event when the recent energy is less than product of the mean energy and a predefined second threshold; and
f. providing for output the beginning of the noise event and the end of the noise event.
2. The method of claim 1 wherein the input signal is output from an analog to digital converter.
3. The method of claim 2 wherein the input signal is passed through one or more decimating filters after it is output from the analog to digital converter.
4. The method of claim 1 wherein the noise events are impulse and burst noise.
5. The method of claim 1 wherein the predefined first threshold and the predefined second threshold are different values.
6. The method of claim 1 wherein a beginning of the noise event is not identified until the recent energy is greater than the product of the mean energy and the predefined first threshold for a first predetermined number of samples of the input signal.
7. The method of claim 1 wherein an end of the noise event is not identified until the recent energy is less than the product of the mean energy and the predefined first threshold for a second predetermined number of samples of the input signal.
8. The method of claim 1 further comprising the step of outputting a vector with the value 1 between the beginning of the noise event and the end of the noise event.
9. A system for automatically identifying noise events in a channel of a communication system comprising:
a. a receiver for receiving signals from the channel;
b. a slow energy module coupled to the receiver for determining steady state energy of the signal;
c. a fast energy module coupled to the receiver for determining recent energy of the signal; and
d. an identification module coupled to the slow energy module and the fast energy module for processing the steady state energy and recent energy to identify a beginning of a noise event and an end of a noise event.
10. The system of claim 9 wherein the receiver comprises one or more decimating filters for processing the signal.
11. The system of claim 9 wherein an energy calculation module for determining average power of the signal is coupled to the fast energy module and the slow energy module.
12. The system of claim 9 wherein the identification module outputs a vector with the value 1 between the beginning of the noise event and the end of the noise event.
13. The system of claim 12 further comprising:
a. a symbol translation module for translating the vector into Reed-Solomon symbols; and
b. a histogram generator unit coupled to the symbol translation module for processing the Reed-Solomon symbols and generating statistical data on the Reed-Solomon symbols that are erred.
14. The system of claim 13 further comprising a plurality of accumulators coupled to the symbol translation module for use in simulating a deinterleaver.