Title
Circuit-Size Reduction for Parallel Chien Search using Minimal Polynomial Degree Reduction
Abstract
The circuit of parallel Chien search is the largest in the decoder for long Bose-Chaudhuri-Hocquenghem (BCH) codes with strong correction capability. It can be decomposed into two functional blocks. One is the shift block which stores and transforms an error locator polynomial. The rest consists of substitution circuits which substitute finite field values into the polynomial to find its roots, which indicate error locations. For circuit-size reduction of the substitution, an error locator polynomial is divided by a product of minimal polynomials. If there are common roots between a dividend and divisor, the remainder inherits the common roots. Hence, error locations can be found by testing the remainder with the lower degree than that of the error locator polynomial. Our new architecture needs additional operations, such as the division. However, for 122-error-correcting BCH codes over GF(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">15</sup> ), our new architecture can reduce the circuit size of the 16-parallel Chien search by 17% compared with an optimized conventional architecture.
Year
DOI
Venue
2019
10.1109/ISCAS.2019.8702075
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Keywords
Field
DocType
Computer architecture,Registers,Decoding,Transforms,Flash memories,Matrices,Wires
Chien search,Finite field,Polynomial,Control theory,Computer science,Arithmetic,Remainder,BCH code,Minimal polynomial (linear algebra),Decoding methods,Divisor
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-7281-0397-6
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Naoaki Kokubun100.68
Akira Yamaga200.68
Hironori Uchikawa3385.56
Daiki Watanabe400.34