Method and apparatus for error detection

• US 20030192005A1
• Filed: 03/17/2003
• Published: 10/09/2003
• Est. Priority Date: 04/05/2002
• Status: Abandoned Application

• Current Assignee: Seagate Technology LLC (Seagate Technology Holdings Plc)
• Original Assignee: Seagate Technology LLC (Seagate Technology Holdings Plc)
• Inventors: Vasiliev, Peter Igorevich, Williamson, Clifton James
• Application Number:
  US10/390,996
• Publication Number:
  US 20030192005A1
• Time in Patent Office: Days
• US Class Current: 714/758
• CPC Class Codes: H03M 13/1515 Reed-Solomon codes
• CPC Class Codes: H03M 13/159 Remainder calculation, e.g. for encoding and syndrome calculation

Abstract

The present invention is an error detection and correction scheme that enables the use of Horner'"'"'s algorithm for the computation of EDC syndromes from the computed error pattern. Specifically, “transformed” EDC syndromes are computed during the read back of data and parity from the medium. The transformed syndromes are values of the polynomial whose coefficients occur in reverse order from that of the EDC codeword polynomial. In essence, by reversing the order of the coefficients, the Chien search processes the terms in descending order which is the right direction for Horner evaluation.

Claims

1. A method of detecting errors in transferred data comprising steps of:

receiving the transferred data having an error detection code appended to user data;

calculating a transformed error detection code syndrome;

calculating a recomputed error detection code syndrome;

comparing the recomputed transformed error detection code syndrome to the transformed error detection code syndrome; and

if the recomputed transformed error detection code syndrome corresponds to the transformed error detection code syndrome, transferring the data to a host.

2. The method of claim 1 further comprising steps of:

if the recomputed transformed error detection code syndrome does not correspond to the transformed error detection code syndrome, receiving the data again.

3. The method of claim 1, wherein the transformed error detection code syndrome recomputation step comprises steps of:

computing a correction pattern using a Chien search in conjunction with Forney'"'"'s algorithm

recomputing the transformed error detection code syndrome using Horner'"'"'s algorithm.

4. The method of claim 1, wherein the transformed error detection code syndrome calculating step comprises steps of:

generating an error detection code multiplier;

generating a non-transformed error detection code syndrome; and

multiplying the error detection code multiplier by the non-transformed error detection code syndrome.

6. The method of claim 1 wherein the step of calculating a recomputed transformed error detection code syndrome is performed only if the transformed EDC syndrome is nonzero.

7. The method of claim 6 wherein if the transformed EDC syndrome is zero, then the transmitted data is transmitted to the host.

8. A decoder comprising;

a transformed error detection code (EDC) syndrome generator receiving transferred data and producing a transformed error detection code syndrome;

a recomputed transformed error detection syndrome generator operable to generate a transformed error detection code syndrome associated with a computed correction pattern in the transferred data; and

a comparator coupled to the transformed EDC syndrome generator and the recomputed transformed error detection syndrome generator operable to compare the transformed error detection code syndrome to the recomputed transformed errordetection code syndrome.

9. The decoder of claim 8 further comprising:

an error locator operable to locate errors either in the transferred data or in a corrected version of the transferred data.

10. The decoder of claim 9, wherein the error locator is operable to perform a Chien search using the transferred data or the corrected version of the transferred data.

11. The decoder of claim 8, wherein the transformed EDC syndrome generator comprises:

a non-transformed EDC syndrome generator;

an EDC multiplier generator; and

an EDC syndrome multiplier coupled to the non-transformed EDC syndrome generator and the EDC multiplier generator wherein the EDC syndrome multiplier is operable to multiply the non-transformed EDC syndrome with the EDC multiplier to generate the transformed EDC syndrome.

12. The decoder of claim 11, wherein the non-transformed EDC syndrome generator comprises:

clocked flip-flops;

combinational logic coupled to an output of the flip-flops operable to multiply the output of the flip-flops with a value associated with the error detection code; and

a logical addition module receiving the transferred data and coupled to an output of the combinational logic operable to logically add the output of the combinational logic with the transferred data, the logical addition module coupled to an input of the flip-flop.

13. The decoder according to claim 8 further comprising an error correction code (ECC) syndrome generator connected to the comparator and receiving the transferred data.

14. The decoder according to claim 13 wherein the ECC syndrome generator is connected to the comparator through an error correction unit.

15. The decoder according to claim 14 wherein the error correction unit is connected to the comparator through an EDC syndrome recomparator.

16. The decoder according to claim 14 wherein the error correction unit is further connected to an error correction mechanism.

17. A data storage device comprising:

an error correction module in the device operable to correct errors in retrieved data retrieved from a data storage medium; and

means for determining whether the retrieved data has been miscorrected without recomputing an error detection code syndrome from the corrected data.

18. The data storage device according to claim 17 wherein the storage device is a disc drive.

19. The data storage device of claim 17, wherein the means for determining whether data has been miscorrected comprises:

a transformed error detection code (EDC) syndrome generator generating a transformed EDC syndrome;

a recomputed transformed error detection code syndrome generator; and

a comparator coupled to the transformed EDC syndrome generator operable to compare the generated transformed EDC syndrome to the recomputed transformed error detection syndrome to detect miscorrected data.

20. The device of claim 19 wherein the transformed EDC generator generates a transformed EDC syndrome in parallel with generation of the recomputed transformed error detection code syndrome by the recomputed transformed error detection code syndrome generator.

21. The device of claim 19, wherein the means for determining further comprises:

an error locator operable to identify error locations associated with corrected data;

an error evaluator operable to identify error values associated with error locations; and

wherein the recomputed transformed error detection code syndrome generator is operable to compute a polynomial value where the error values are the coefficients of the polynomial.

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22. The device of claim 21, wherein the error locator comprises a Chien search engine and the error evaluator comprises a Forney'"'"'s algorithm engine.

23. A method of detecting an error in error correction code (ECC) encoded data comprising steps of:

receiving ECC encoded data;

transforming the data in a transformed error detection code (EDC) syndrome generator into a transformed error detection code syndrome;

receiving the ECC encoded data in a recomputed transformed error detection syndrome generator;

generating a recomputed transformed error detection syndrome associated with a computed correction pattern in the ECC encoded data; and

comparing the transformed EDC syndrome with the recomputed transformed error detection syndrome.

24. The method of claim 23 further comprising a step of:

locating errors either in the received data using an error locator; and

correcting errors in the received data using an error evaluator.

25. The method of claim 24 wherein the locating step comprises performing a Chien search using the received data and the evaluating step comprises performing Forney'"'"'s algorithm.

26. The method of claim 23, wherein the transforming step comprises:

generating a non-transformed EDC syndrome;

computing an EDC multiplier; and

multiplying the non-transformed EDC syndrome by the EDC multiplier to generate the transformed EDC syndrome.

27. The method of claim 26, wherein the step of generating a non-transformed EDC syndrome generator comprises:

receiving the data;

providing clocked flip-flops;

multiplying an output of the flip-flops with a value associated with the error detection code in the received data; and

logically adding the multiplied output to the received data.

28. The method of claim 23 further comprising steps of:

generating an error correction code (ECC) syndrome from the received data in an ECC syndrome generator.

29. The method of claim 28 wherein the ECC syndrome generator is connected to a comparator through an error correction unit.

30. The method of claim 29 wherein the error correction unit is connected to the comparator through an EDC syndrome recomparator.

31. A data communication system comprising:

a data carrying medium;

a data transfer mechanism operably connected to the data carrying medium receiving data from the medium and sending data to the medium; and

an error correction module connected to the mechanism operable to correct errors in data received from the medium; and

means for determining whether received data has been miscorrected without recomputing an error detection code (EDC) syndrome from the corrected data.