Optimized Design of Finite-Length Separable Circulant-Based Spatially-Coupled Codes: An Absorbing Set-Based Analysis
Document Type
Conference Proceeding
Publication Date
10-1-2016
Abstract
In this paper, we characterize the finite-length performance of separable circulant-based spatially-coupled (SCB-SC) LDPC codes for transmission over the additive white Gaussian noise channel. For a general class of finite-length graph-based codes, it is known that the existence of small absorbing sets causes a performance degradation in the error floor regime. We first present the mathematical conditions for the existence of absorbing sets in binary SCB-SC codes. This analysis enables us to find the exact number of absorbing sets as a function of the design parameters. In particular, our results show that the choice of the cutting vector affects the number of absorbing sets and, therefore, the error floor performance of the code. For a fixed column weight, we find provably optimal cutting vectors that result in the least number of absorbing sets. Furthermore, we extend our analysis to nonbinary SCB-SC codes, where we show that the choice of the cutting vector is not as critical as in the binary case. We provide an algorithm which provably removes the problematic nonbinary absorbing sets from nonbinary SCB-SC codes by informed selection of edge labels. Our simulation results show the superior error floor performance of our designed binary and nonbinary SCB-SC codes compared with binary unstructured and nonbinary quasi-cyclic SC codes available in the open literature.
Identifier
84992361714 (Scopus)
Publication Title
IEEE Transactions on Communications
External Full Text Location
https://doi.org/10.1109/TCOMM.2016.2597287
ISSN
00906778
First Page
4029
Last Page
4043
Issue
10
Volume
64
Recommended Citation
Amiri, Behzad; Reisizadehmobarakeh, Amirhossein; Esfahanizadeh, Homa; Kliewer, Jorg; and Dolecek, Lara, "Optimized Design of Finite-Length Separable Circulant-Based Spatially-Coupled Codes: An Absorbing Set-Based Analysis" (2016). Faculty Publications. 10248.
https://digitalcommons.njit.edu/fac_pubs/10248
