Published June 2005 | Version public
Book Section - Chapter

The Average Weight Enumerator and the Maximum Likelihood Performance of Product Codes

  • 1. ROR icon California Institute of Technology

Abstract

Product codes are widely used in data-storage, optical and wireless applications. Performance analysis of the product codes in the literature relied on the truncated union lower bounds due to lack of the knowledge of the weight enumerator of most product codes. In this paper, average weight enumerators of arbitrary product codes over F_q are derived. The split weight enumerators of some linear codes are studied and are used in the analysis. The average binary weight enumerator of product Reed Solomon codes is derived. The relationship between the codeword weight and the coordinate weight is discussed for product codes. Consequently, tight bounds on the performance of product codes at low signal to noise ratios are shown.

Additional Information

© 2005 IEEE. Issue Date: 13-16 June 2005. Date of Current Version: 05 December 2005. This research was supported by NSF grant no. CCR-0118670 and grants from Sony, Qualcomm, and the Lee Center for Advanced Networking. The author would like to thank R. McEliece and J. Thorpe for useful discussions.

Additional details

Identifiers

Eprint ID
24898
DOI
10.1109/WIRLES.2005.1549650
Resolver ID
CaltechAUTHORS:20110817-073434888

Funding

NSF
CCR-0118670
Sony
Qualcomm
Caltech Lee Center for Advanced Networking

Dates

Created
2011-08-17
Created from EPrint's datestamp field
Updated
2021-11-09
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