Versatile erasure forecasting system for impulse noise mitigation

• US 20050286566A1
• Filed: 06/23/2005
• Published: 12/29/2005
• Est. Priority Date: 06/23/2004
• Status: Abandoned Application

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Liu, Peter, Tong, Po
• Application Number:
  US11/159,476
• Publication Number:
  US 20050286566A1
• Time in Patent Office: Days
• US Class Current: 370/503
• CPC Class Codes: H04L 1/0057 Block codes H04L1/0061, H04L1/0064 take precedence
• CPC Class Codes: H04L 1/0071 Use of interleaving interleaving per se H03M13/27

Abstract

The present invention provides a system for mitigating impulse noise effects in a digital data transmission system, particularly in a DSL-based communications system (300), by optimizing error correction systems with an erasure forecasting scheme. Within the communications system, encoding and structuring constructs form and permute data transmission units for transmission in a deterministic manner (i.e., having known, fixed characteristics). Once data transmission units have been received over a transmission channel, de-structuring and decoding constructs inversely permute and decode those data transmission units, according to the deterministic manner. Data decoding is monitored (302), and the occurrence of an impulse noise event in the transmission channel is identified (304). A first data transmission unit affected by the impulse noise event is decoded (306). A forecasting construct evaluates the decoded first data transmission unit using known characteristics of the deterministic manner (308, 310), and develops a forecast (312) of locations of an erasure error within a subsequent decoded data transmission unit, which is then utilized to optimize error correction.

Claims

1. A method of correcting erasure errors occurring within a DSL-based communication system, the method comprising the steps of:

providing an incumbent pre-transmission data structuring scheme;

providing a corresponding incumbent post-transmission data de-structuring scheme;

providing a monitoring construct that monitors data de-structuring and identifies an impulse noise event;

providing an evaluation construct that determines a first data transmission unit affected by the impulse noise event;

providing a forecasting construct that evaluates the first data transmission unit, using known characteristics of the incumbent pre-transmission data structuring scheme, to identify a location of an erasure error within the first data transmission unit and, based on that evaluation, generates a forecast of location of erasure error(s) within subsequent data transmission unit(s); and

cooperatively processing the forecast with incumbent post-transmission data de-structuring scheme to optimize an error correction construct.

2. The method of claim 1, wherein the DSL-based communication system comprises an ADSL communication system.

3. The method of claim 1, wherein the DSL-based communication system comprises an VDSL communication system.

4. The method of claim 1, wherein the steps of providing an incumbent pre-transmission data structuring scheme and a corresponding incumbent post-transmission data de-structuring scheme further comprise providing a Reed-Solomon encoding and decoding scheme.

5. The method of claim 1, wherein the steps of providing an incumbent pre-transmission data structuring scheme and a corresponding incumbent post-transmission data de-structuring scheme further comprise providing a discrete multi-tone modulation and demodulation scheme.

6. The method of claim 1, wherein the step of providing an evaluation construct that determines a first data transmission unit affected by the impulse noise event further comprises providing an evaluation construct that determines a first codeword affected by the impulse noise event.

7. The method of claim 1, wherein the step of providing an evaluation construct that determines a first data transmission unit affected by the impulse noise event further comprises providing an evaluation construct that determines a first timeslot affected by the impulse noise event.

8. The method of claim 1, wherein the step of providing an evaluation construct that determines a first data transmission unit affected by the impulse noise event further comprises providing an evaluation construct that determines a first byte affected by the impulse noise event.

9. The method of claim 1, wherein the step of providing a forecasting construct that evaluates the first data transmission unit, using known characteristics of the incumbent pre-transmission data structuring scheme, to identify a location of an erasure error within the first data transmission unit further comprises providing a forecasting construct that evaluates the first data transmission unit, using known characteristics of the incumbent pre-transmission data structuring scheme, to identify a timeslot of an erasure error within the first data transmission unit.

10. The method of claim 1, wherein the step of providing a forecasting construct that generates a forecast of location of erasure error(s) within subsequent data transmission unit(s) further comprises providing a forecasting construct that generates a forecast of location of erasure error(s) within subsequent data transmission unit(s) responsive to an error metric.

11. The method of claim 10, wherein the forecasting construct that generates a forecast of location of erasure error(s) within subsequent data transmission unit(s) responsive to an error metric generates the forecast based upon an assumption of contiguous error(s) if the metric is above a desired threshold, or upon an assumption of non-contiguous error(s) if the metric is below the desired threshold.

12. A system for mitigating impulse noise effects in a digital data transmission, the system comprising:

an encoding construct that encodes digital data received from a data input;

a structuring construct that permutes data received from the encoding construct into data transmission units in a deterministic manner;

a transmission channel over which data transmission units, received from the structuring construct, are transmitted;

a de-structuring construct that inversely permutes data transmission units received from the transmission channel according to the deterministic manner;

a decoding construct that decodes data received from the de-structuring construct;

a monitoring construct that monitors data decoding and identifies an impulse noise event;

an evaluation construct that decodes, using the decoding construct, a first data transmission unit affected by the impulse noise event;

a forecasting construct that evaluates the decoded first data transmission unit, using known characteristics of the deterministic manner, to identify a location of an erasure error within the decoded first data transmission unit and forecasts a location of erasure error(s) within subsequent decoded data transmission unit(s);

wherein

the forecast is cooperatively processed with the decoding construct to optimize an error correction construct.

13. The system of claim 12, wherein the encoding construct further comprises a Reed-Solomon encoding construct.

14. The system of claim 12, wherein the decoding construct further comprises a Reed-Solomon decoding construct.

15. The system of claim 12, wherein the structuring construct further comprises a discrete multi-tone modulation construct.

16. The system of claim 12, wherein the de-structuring construct further comprises a discrete multi-tone demodulation construct.

17. The system of claim 12, wherein the first data transmission unit further comprises a first codeword.

18. The system of claim 12, wherein the first data transmission unit further comprises a first byte.

19. The system of claim 12, wherein the forecasting construct generates a forecast of location of erasure error(s) within subsequent data transmission unit(s) responsive to an error metric.

20. The system of claim 12, wherein the forecasting construct generates a forecast of location of erasure error(s) within subsequent data transmission unit(s) responsive to an error metric, based upon an assumption of contiguous error(s) if the metric is above a desired threshold, or upon an assumption of non-contiguous error(s) if the metric is below the desired threshold.