Noise identification in a communication system

• US 7,152,025 B2
• Filed: 10/18/2002
• Issued: 12/19/2006
• Est. Priority Date: 02/28/2002
• Status: Expired due to Fees

• Current Assignee: Intel Corporation
• Original Assignee: Texas Instruments, Inc.
• Inventors: Bitran, Yigal, Shalvi, Ofir, Sommer, Naftali, Reznic, Zvi, Lusky, Itay, Yagil, Ariel, Wajcer, Daniel, Haim, Eli, Bendel, Yosef
• Primary Examiner(s): PHAN, THAI Q
• Application Number:
  US10/273,555
• Publication Number:
  US 20030181185A1
• Time in Patent Office: 1,523 Days
• Field of Search: 703/19, 703/2, 703/5, 703/17, 714/774, 455/67.1, 370/203, 375/224, 375/260, 375/257
• US Class Current: 703/18
• CPC Class Codes: H04L 1/0001 Systems modifying transmission characteristics according to link quality, e.g. power backoff adaptive data allocation for multicarrier modulation H04L5/0044; controlling transmission power for radio systems H04W52/04
• CPC Class Codes: H04L 1/0003 by switching between different modulation schemes
• CPC Class Codes: H04L 1/0017 where the mode-switching is based on Quality of Service requirement
• CPC Class Codes: H04L 1/0019 in which mode-switching is based on a statistical approach
• CPC Class Codes: H04L 1/20 using signal quality detector

Abstract

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.

Claims

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.